#NI LabVIEW Development Services
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pujacontrols01 · 2 years ago
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Unleashing the Power of Hardware Development & Integration
Introduction:
Hardware integration and development are essential for influencing technology breakthroughs in the connected world of today. The physical elements that fuel our modern lives are brought together by hardware development and integration, from smartphones and wearables to industrial gear and smart home gadgets. We will explore the relevance, difficulties, and revolutionary effects that hardware development and integration have on numerous industries in this blog article.
The Significance of Hardware Development:
The process of developing and building the actual systems and parts that make up electronic devices is known as hardware development. Conceptualization, design, prototyping, testing, and production are just a few of the processes it covers. Delivering cutting-edge goods and technologies that satisfy consumer wants and offer seamless user experiences depends on hardware development.
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Impact of Hardware Development & Integration across Industries:
Hardware development and integration have far-reaching implications across various industries, including:
Consumer Electronics: Enabling the development of cutting-edge devices like smartphones, tablets, smart home devices, and wearables, enhancing our daily lives.
Industrial Automation: Powering the automation and control systems that drive efficiency, productivity, and safety in industries such as manufacturing, energy, and transportation.
Healthcare: Supporting the development of medical devices, diagnostic equipment, and telehealth solutions that revolutionize patient care and enable remote monitoring.
Internet of Things (IoT): Facilitating the integration of hardware components, sensors, and connectivity in IoT ecosystems, enabling smart cities, smart grids, and connected devices. Hardware development and integration form the backbone of technological progress, enabling the creation of innovative devices and systems that shape our world. From designing circuits and PCBs to integrating hardware components and ensuring compatibility, hardware development & integration are vital for delivering reliable, efficient, and transformative solutions across industries. By embracing the challenges and harnessing the potential of hardware development and integration, businesses and individuals can unlock new possibilities and drive the next wave of technological advancements.
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bliiot-jerry · 8 days ago
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ARM Industrial Computers with LabVIEW graphical programming for industrial equipment monitoring and control
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Case Details
LabVIEW is a powerful and flexible graphical programming platform, particularly suited for engineering and scientific applications that require interaction with hardware devices. Its intuitive interface makes the development process more visual, helping engineers and scientists quickly build complex measurement, testing, and control systems.
Combining ARM industrial computers with LabVIEW for industrial equipment monitoring and control is an efficient and flexible solution, especially suitable for industrial scenarios requiring real-time performance, reliability, and low power consumption. Below is a key-point analysis and implementation guide.
1. Why Choose ARM Industrial Computers?
Low Power Consumption & High Efficiency: ARM processors balance performance and energy efficiency, making them ideal for long-term industrial operation.
Compact & Rugged Design: Industrial-grade ARM computers often feature wide-temperature operation, vibration resistance, and dustproofing (e.g., IP65-rated enclosures).
Rich Interfaces: Support for various industrial communication protocols (e.g., RS-485, CAN bus, EtherCAT) and expandable I/O modules.
Cost-Effective: Compared to x86 platforms, ARM solutions are typically more economical, making them suitable for large-scale deployments.
2. LabVIEW Compatibility with ARM Platforms
ARM Support in LabVIEW: Verify whether the LabVIEW version supports ARM architecture (e.g., LabVIEW NXG or running C code generated by LabVIEW on Linux RT).
Cross-Platform Development:
Option 1: Develop LabVIEW programs on an x86 PC and deploy them to ARM via cross-compilation (requires LabVIEW Real-Time Module).
Option 2: Leverage LabVIEW’s Linux compatibility to run compiled executables on an ARM industrial computer with Linux OS.
Hardware Drivers: Ensure that GPIO, ADC, communication interfaces, etc., have corresponding LabVIEW drivers or can be accessed via C DLL calls.
3. Typical Applications
Real-Time Data Acquisition: Connect to sensors (e.g., temperature, vibration) via Modbus/TCP, OPC UA, or custom protocols.
Edge Computing: Preprocess data (e.g., FFT analysis, filtering) on the ARM device before uploading to the cloud to reduce bandwidth usage.
Control Logic: Implement PID control, state machines, or safety interlocks (e.g., controlling relays via digital outputs).
HMI Interaction: Use LabVIEW’s UI module to build local touchscreen interfaces or WebVI for remote monitoring.
4. Implementation Steps
Hardware Selection:
Choose an ARM industrial computer compatible with LabVIEW (e.g., ARMxy, Raspberry Pi CM5).
Expand I/O modules (e.g., NI 9401 digital I/O, MCC DAQ modules).
Software Configuration:
Install LabVIEW Real-Time Module or LabVIEW for Linux.
Deploy drivers for the ARM device (e.g., NI Linux Real-Time or third-party drivers).
Communication Protocol Integration:
Industrial protocols: Use LabVIEW DSC Module for OPC UA, Modbus.
Custom protocols: Leverage TCP/IP or serial communication (VISA library).
Real-Time Optimization:
Use LabVIEW Real-Time’s Timed Loop to ensure stable control cycles.
Priority settings: Assign high priority to critical tasks (e.g., safety interrupts).
Remote Monitoring:
Push data to SCADA systems (e.g., Ignition, Indusoft) via LabVIEW Web Services or MQTT.
5. Challenges & Solutions
ARM Compatibility: If LabVIEW does not natively support a specific ARM device, consider:
Generating C code (LabVIEW C Generator) to call low-level hardware APIs.
Using middleware (e.g., Node-RED) to bridge LabVIEW and ARM hardware.
Real-Time Requirements: For μs-level response, pair with a real-time OS (e.g., Xenomai) or FPGA extensions (e.g., NI Single-Board RIO).
Long-Term Maintenance: Adopt modular programming (LabVIEW SubVIs) and version control (Git integration).
6. Recommended Toolchain
Hardware: NI CompactRIO (ARM+FPGA), Advantech UNO-2484G (ARM Cortex-A72).
Software: LabVIEW Real-Time + Vision Module (if image processing is needed).
Cloud Integration: Push data to AWS IoT or Azure IoT Hub via LabVIEW.
Conclusion
The combination of ARM industrial computers and LabVIEW provides a lightweight, cost-effective edge solution for industrial monitoring and control, particularly in power- and space-sensitive environments. With proper hardware-software architecture design, it can achieve real-time performance, reliability, and scalability. For higher performance demands, consider hybrid architectures (ARM+FPGA) or deeper integration with NI’s embedded hardware.
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digilogic-system · 10 months ago
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Spectrum Monitoring Receiver from Digilogic Systems
Introduction:
In today’s increasingly complex RF environments, efficient and precise spectrum monitoring is essential. Spectrum monitoring is a critical process in managing and optimizing the use of radio frequencies across various applications, including telecommunications, aerospace, and defence. By continuously observing the radio frequency spectrum, spectrum monitoring ensures compliance with regulatory standards, identifies unauthorized transmissions, and detects potential interference sources. 
Advanced Spectrum Monitoring Receiver systems utilize advanced technologies to analyze real-time frequency data, ensuring reliable performance and preventing service disruptions, safeguarding the spectrum, and enhancing communication infrastructure.
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What is spectrum monitoring?
Spectrum monitoring is performed by utilizing up-to-date highly integrated PXIe-based systems to demodulate and analyse digital and analog RF/IF signals. These systems which have been created in LabVIEW and utilizing Virtex- 5 FPGA technology, can acquire up to six signals from NI PXIe monitoring receivers. 
Some of these figures include the spectrum and small satellite mapping, the use of Waterfall/Spectrogram real-time probe, and RAID for post-analysis. Operations like ‘channelizing’ and ‘demodulation’ facilitate fine-tuning and selective filtering and decoding of the signals according to the characteristics set by the user.
Why is spectrum monitoring important?
Spectrum Monitoring Importance
 Detects interprets, and successfully controls radio communication frequency signals.
Promotes proper use of the available spectrum and identifies those who are using the frequency without authority.
Reduced interference of the communications that are central to the functioning of the system.
Uses such interfaces as panoramic spectrum displays and spectrograms in real-time.
Helps in meeting the requirements of the laws, and aids in efficient spectrum management and coordination in case of an emergency.
Maintains the cleanliness of the communication networks.
Includes processing capabilities of the channelization and demodulation for targeted signal control.
How does Digilogic Systems spectrum monitoring work?
Signal Acquisition: Several RF/IF signals are received through the NI PXIe monitoring receivers.
Digital Down conversion: In the receiver path the received signals are down converted to a lower frequency to allow easy digital processing.
Channelization: The signals that are down converted are further partitioned into six independent paths for parallel processing.
Signal Analysis: Regarding the signal acquired in each channel, signal processing is applied by utilizing numerous methods on LabVIEW.
Visualization: Spectrum and waterfall are typical types of displays that give immediate information regarding signals.
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What technologies are used in Digilogic Systems spectrum monitoring systems?
Spectrum monitoring systems of Digilogic Systems are designed using PXIe architecture, LabVIEW software, and Virtex-5 FPGA for effective signal analysis. These include live images of the panoramic spectrum, spectrogram displays, and recording/playback functionalities. Sophisticated channelizing and demodulation allow for processing up to six signals at a time with separate bandwidth settings.
What are the key applications of Digilogic Systems spectrum monitoring?
The main use is found in the areas of communications such as telecommunication, aerospace, and defence to the set legal requirements. Frequency supervision aids in
The administration and identification of unauthorized uses as well as signal jamming in those sectors of operation.
Potential Applications
Signal Intelligence: Gathering intelligence from intercepted exchanges using voice or digital media.
Radar Signal Processing: Interpreting the signals for identification and tracking of targets through radar.
Communications System Development and Testing: Assessment of communication systems and their overall performance.
Electronic Warfare: Identifying and categorizing the hostile signals.
How does Digilogic Systems spectrum monitoring help with regulatory compliance?
Digilogic’s Spectrum monitoring ensures that users adhere to regulatory standards by identifying unauthorized transmissions and potential interference sources. This helps regulatory bodies enforce spectrum policies and manage frequency allocations effectively.
Features:
Real-time digital IF data acquired by Spectrum Monitoring Receiver.
Real-time analog IF data digitized via high-speed digitizer
High-performance Virtex-5 FPGAs for processing
Spectrum and Waterfall representation
Signal recording & replaying on/from RAID
Processing of multiple signals (up to 6 signals in a total span of 50 MHz of bandwidth)
Manual demodulation of each signal (up to 20 MHz of bandwidth)
Facts:
Monitoring of complete signal scenarios.
Powerful classifier & extensive signal processing library with demodulators.
Configurable detection of fixed frequency & burst with the processing of the detected signal.
Modular capability of selecting from one channel through a six-channel signal processing solution.
Open interface for independent extension of signal processing capabilities of the user.
Signal recording & replaying on/from Solid Disk Drive.
Conclusion:
The Spectrum Monitoring Analyser of the Digilogic System is an efficient and multifunctional device for performing various types of RF/IF signal analysis. The use of PXIe as the basis for the system together with being integrated with LabVIEW software and Virtex-5 FPGA provides signals’ high-quality processing. As the system can handle up to six signals at a time, this means that the variety of waveforms is encompassed by the system.
The ability to analyze signal characteristics in a real-time waterfall and panoramic spectrum display is also very useful. In addition, the recording and replay function prepared for offline examination is particularly useful in this regard. Because users can alter the parameters of channelization and demodulation, it becomes possible to derive usable information from the received signal. In summary, Digilogic’s analyzer is a valuable tool for researchers and engineers who are solving problems in the RF and communications fields.
Contact us today to discuss your Spectrum Monitoring requirements:
Website: https://www.digilogicsystems.com/
Phone:
Hyderabad: (+91) 40 4547 4601 / 02 / 03
Bengaluru: (+91) 80 4975 6034
Locations:
HEAD OFFICE          
#102, 1st Floor, DSL Abacus Tech Park beside DSL Virtue Mall, Uppal, Hyderabad, Telangana-500 039.
BRANCH OFFICE
#216, 3rd floor, Zareen Heights, Varthur Road, Nagavarapalya, C. V. Raman Nagar, Bengaluru, Karnataka — 560093.
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tmcs03 · 1 year ago
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WHAT IS DATA ACQUISITION (DAQ)?
Data Acquisition Systems have its contribution in a wide range of activities of day-to-day life. Most commonly, it is used to measure the electrical signals from some sensor.it is often referred, is the process of digitizing data from the world around us so it can be displayed, analyzed, and stored in a computer.
DAQ system applications are usually controlled by software programs developed using various using general purpose programming language such as Assembly, BASIC, C, C++, C#, Fortran, Java, LabVIEW. TMCS is NI Silver Alliance Partner we also provide LabVIEW Software offshore consultation.
for responsive DATA ACQUISITION (DAQ) services you can visit to TMCS
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pujacontrol · 1 year ago
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NI LabVIEW Development Service
Puja Controls is the leading NI LabVIEW Development Services. We are engaged in providing world-class service providers for industrial automation, control arrangements, test & measurement automation through a software tool. We deliver management control solutions for various industries such as automotive, power and electronics, defense, steel, oil and gas, and more. 
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pujacontrols · 2 years ago
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NI LabVIEW Development Services
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NI LabVIEW Development Services is one of Puja Controls' main areas of expertise. You can reach us by phone at 91-8750410007 or by email at [email protected].
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tmcsindia · 2 years ago
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CONSULTATION SERVICES – TMCS
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National Instruments software has been a technical pioneer and leader in virtual instrumentation for than four decades, a groundbreaking notion that has altered the way engineers and scientists in business, government, and academia approach measurement and automation. Everything from prototyping and probability analysis to project management and the integration of third-party software and hardware may be done quickly.
TMCS is a National Instruments, USA Silver Alliance Partner (system integrator/applications expert) capable of handling system design, system integration, and applications engineering utilizing any combination of National Instruments' high-performance software and hardware solutions.
OUR CAPABILITIES INCLUDE
Turn-key Systems Engineering
Software Development for Measurement, Data Acquisition, and Control Applications
System Engineering, Hardware and Software for Sophisticated Networks for Distributed Data Acquisition and Control Systems
Design and Assembly of Complete Control Panels and their Integration
Data Acquisition Systems
Data Acquisition Systems often referred, as the process of digitizing data from the world around us so it can be displayed, analyzed and stored in a computer. DAQ system applications are usually controlled by software programs developed using various programming language such as C, C++, Python, NI LabVIEW.
Data acquisition is a critical component of contemporary test and measurement systems, and National Instruments LabVIEW (short for Laboratory Virtual Instrument Engineering Workbench) is a prominent software tool for this purpose. LabVIEW is a graphical programming language that enables engineers and scientists to rapidly and simply construct unique test and measurement applications.
One typical use for NI LabVIEW is the creation of test benches, which are systems meant to automate the testing of electrical or mechanical components. These test bench may be used to do functional testing, stress testing, and other sorts of testing, and they can considerably increase the efficiency and accuracy of testing operations.
NI 6001 Multifunction I/O- Based System
USB Multifunction I/O Device – 8 AI (14-Bit, 20 KS/s), 2 AO (5 KS/s/Ch), 13 DIO  
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Description:
Multifunction I/O device
32-bit Counter
Data Logging
Portable Measurements
Data Acquisition system for Verification Validation
NI CDAQ 9185 for Data Acquisition
CompactDAQ Chassis – 4-Slot, TSN-Enabled Ethernet CompactDAQ Chassis
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Description:
Controls Timing Synchronization between NI modules and host
Connectivity Options – USB, Ethernet, Wi-Fi
Multiple Hardware timed operations
For limited channel count data acquisitions which needs measurement from multiple networks, signals and sensors, the Compact DAQ is the ideal choice.
NI CDAQ 9181 for Data Acquisition
CompactDAQ Chassis 1 Slot, Ethernet CompactDAQ Chassis
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Description:
Created for compact, decentralized sensor measurement systems.
Manages the timing synchronization of NI modules with the host
May be used to produce a mix of analogue, digital, and counter/timer measurements by combining C Series I/O modules.
NI 9234 for Vibration Monitoring system
C Series Sound and Vibration Input Module, 2-Channel, 102.4 KS/s/Ch Simultaneous, ±5 V
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Description:
Vibration and Sound Input Module
software-selectable coupling for AC/DC
IEPE short/open detection,
Signal conditioning for IEPE
Signal conditioning for IEPE
Comes with the NI DAQmx driver setup tool.
Supports Python, C++, and NI programming environments.
The system calculates displacement, velocity, and acceleration.
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arrowopcas · 3 years ago
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Dioude product lookup by serial number
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#Dioude product lookup by serial number serial numbers
#Dioude product lookup by serial number serial number
#Dioude product lookup by serial number software
#Dioude product lookup by serial number license
#Dioude product lookup by serial number serial number
Label on the anti-static bag where the hardware has been shipped in.įor reference, the image below illustrates where the serial number for a PCI Board, a PXI Controller, a PXI Chassis and a USB device would be located.
Sticker located directly on an IC on the board of many PXI cards.
Label adhered directly on the hardware itself.
#Dioude product lookup by serial number serial numbers
NI hardware serial numbers are located on a:.NI cable serial numbers typically consist of nine (9) numbers located beneath the Model Number on the cable itself.NI hardware serial numbers typically consist of six (6) alphanumeric values.
#Dioude product lookup by serial number license
From within NI License Manager 3.1 and earlier, click on the Server Name, and the administrator contact information will be listed on the right side of the window.
From within NI License Manager 4.0 and higher, navigate to the Network Licenses tab for and the administrator contact information will be listed on the left side of the window as in the image below.
Their contact information can be found through software. Contact the administrator for the serial number.
Volume License Programs require an administrator.
If the software kit does not include a Certificate of Ownership, it is possible to find the serial number on the product packing slip or on the shipping label as shown below. The serial number is located on the Certificate of Ownership included in the software kit.
#Dioude product lookup by serial number software
If the software is activated, the box next to it will be green and the serial number will be located in the Serial Number field as seen below.For example, Local Licenses»LabVIEW 2016✽evelopment System»Professional Development System. Navigate to the NI software of interest under Local Licenses.From NI License Manager 3.1 and earlier:.If the software is activated, the circle next to it will be green and the serial number will be located in the Serial Number field as seen in below.Expand the software package of interest.Navigate to the Local Licenses tab for local or disconnected licenses.If the Serial Number is not displayed, please see the Software Volume License Program Customers section below.The dialog box that appears will display software application details.When the application opens, locate the Help menu at the top of the screen.Launch the NI Software you wish to identify.The following methods can be applied to verify that the correct serial number is being used. To find charts of kits, part numbers, quantities, etc.Finding the serial number is dependent upon the type of license agreement and equipment initially enabled at purchase. We have grouped items together to make it easier to find what you need. visit our EVERYTHING MERCURY MARINE page. If you're looking for service & maintenance kits, accessories, gauges, VesselView products, new outboard engines, sterndrives, props, controls, oils, lubricants, anodes, K Planes, etc. If your product doesn't come up contact us and we will look up your serial number. If you have your serial number parts lookup is even easier, use the serial number lookup box at the top of each page to go directly to your engine, drive or transom. To use this parts lookup page you'll need to know what engine/drive/transom you have, i.e., 350 MAG MPI, 8.1L, 496 HO, Bravo 1 drive, 350 Verado, etc. Find genuine factory OEM Mercury Marine, Mercruiser, Quicksilver and Mercury Racing parts for your engine, sterndrive or a Mercury accessory using detailed drawings and images with our Mercury Mercruiser online parts catalog.
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pujacontrols01 · 2 years ago
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Empower Your Projects with NI LabVIEW Development Services
Puja Controls provides NI LabVIEW Development Services to assist you in meeting your business objectives. Our professional staff can create any form of application, from tiny prototypes to sophisticated systems. We also offer custom design and development, as well as employee training and support. We are experts in LabVIEW, an integrated development environment (IDE) that allows you to create programs with simple graphical user interfaces. This allows you to use the program without assistance, allowing you to focus on building your project rather than learning how to use it.
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inovn · 6 years ago
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National Instruments – 1.06 GHz Dual-Core Controller and LX75 FPGA With Windows OS (Model: NI cRIO-9081)
Vui lòng liên hệ với chúng tôi– chúng tôi sẽ liên hệ lại với khách hàng bằng điện thoại hoặc email.
Lưu ý: Tham khảo ý kiến của nhân viên INO sẽ giúp bạn tiết kiệm được thời gian và chi phí khi cần mua sắm. ​​Với sự tư vấn của chúng tôi, bạn sẽ không gặp khó khăn khi tìm hiểu về đặc tính của sản phẩm cần mua.
High-performance multicore system for intense embedded monitoring and control applications
1.06 GHz dual-core Intel Celeron processor, 16 GB nonvolatile storage, 2 GB DDR3 800 MHz RAM
1 MXI-Express, 4 USB Hi-Speed, 2 Gigabit Ethernet, and 2 serial ports for connectivity, expansion
8-slot Spartan-6 LX75 FPGA chassis for custom I/O timing, control, and processing
Microsoft Windows Embedded Standard 7 and VGA graphics for a built-in user interface
0 °C to 55 °C operating temperature range.
 The high-performance multicore NI cRIO-9081 system provides advanced Intel Celeron dual-core processing, built-in VGA display output for an integrated user interface, and the option to use a Microsoft Windows Embedded Standard 7 (WES7) or LabVIEW Real-Time OS. The increased processing power of the cRIO-9081 makes it well suited to perform the advanced processing tasks required by complex applications such as machine vision and rapid control prototyping. Choose WES7 on the cRIO-9081 and take advantage of the extensive Windows ecosystem of software and display capabilities made possible by LabVIEW software. The high-performance multicore cRIO-9081 also offers the widest array of connectivity and expansion options available in the CompactRIO platform, including the high-bandwidth and low-latency MXI-Express bus for expansion using the 14-slot MXI-Express RIO chassis.
Resource & Download
Additional Product Information
Manuals  (6)
Dimensional Drawings  
Product Certifications  
Related Information
NI CompactRIO Home Page
Introducing High-Performance Multicore NI CompactRIO
Top 5 Considerations When Choosing an Embedded OS for NI CompactRIO
What Is Microsoft Windows Embedded Standard 7?
Developing Applications for Windows-Based CompactRIO
LabVIEW FPGA Compile Farm: FPGA Compilation On-Site or in the Cloud
Getting Started With the LabVIEW FPGA Compile Cloud Service
NI Graphical System Design Calculator: Build Versus Buy
Software Support and Compatibility for CompactRIO
CompactRIO Developer's Guide
Lưu ý: Nếu một thiết bị nào đó không được liệt kê ở đây, điều đó không có nghĩa rằng chúng tôi không hỗ trợ được bạn về thiết bị đó. Hãy liên hệ với chúng tôi để biết danh sách đầy đủ về thiết bị mà chúng tôi có thể hỗ trợ và cung cấp.
INO: Bán, Báo giá, tư vấn mua sắm và cung cấp, tư vấn sản phẩm thay thế; tương đương, hướng dẫn sử dụng, giá…VNĐ, …USD [email protected] | 02873000184 | National Instruments – 1.06 GHz Dual-Core Controller and LX75 FPGA With Windows OS (Model: NI cRIO-9081).
Calibrator http://www.calibrator.vn/khac-do-luong-kiem-tra/national-instruments-1-06-ghz-dual-core-controller-and-lx75-fpga-with-windows-os-model-ni-crio-9081/
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technato · 7 years ago
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Wireless Research Handbook: 3rd Edition
Build 5G wireless networks and systems with software defined radio
JAMES KIMERY | DIRECTOR OF MARKETING, SDR AND WIRELESS RESEARCH, NI
NI software defined radio solutions integrate hardware and software to help scientists and engineers rapidly prototype high-performance wireless systems. NI works with researchers worldwide to advance wireless research, and their use cases are fascinating and inspiring. This book includes incredible examples of how researchers transformed their novel wireless research ideas into real working prototypes.
I would like to thank all our lead users from around the world who continue to inspire us to build and evolve our platforms. You set the bar ever higher and ultimately help the wider research community innovate faster!
For additional information on these use cases and ways to innovate faster, please feel free to contact me and visit ni.com/sdr.
Wireless Research Team
With a common goal of rapidly moving from theory to prototype, NI established lead user programs to accelerate next-generation research in controls, mechatronics, robotics, and wireless communications. Established in 2010, the wireless communications lead user program includes numerous research institutions examining advanced wireless system concepts. Many researchers around the world are making significant contributions in advancing wireless technologies through standardization and commercialization based on the foundational work completed by the lead user program.
Flexible Waveform Shaping Based on UTW-OFDM for 5G and Beyond
Easing the Transition From 4G Systems to 5G and Beyond Systems
Digital Communications Laboratory, Department of Communications and Computer Engineering, Kyoto University
USER PROFILE
Dr. Keiichi Mizutani is an assistant professor in the Graduate School of Informatics at Kyoto University. He earned a doctorate in electric and electrical engineering from the Tokyo Institute of Technology in 2012. Mizutani researches physical layer technologies in 5G and beyond systems, white space communications, dynamic spectrum access, and wireless smart utility networks. He also participates in IEEE 802 standardization activities.
Dr. Takeshi Matsumura is an associate professor in theGraduate School of Informatics at Kyoto University and a senior researcher in the Wireless Systems Laboratory at the National Institute of Information and Communications Technology (NICT). He earned a doctorate in nanomechanics engineering from Tohoku University in 2010. Matsumura’s research interests include white space communications, wireless wide area networks, and 5G mobile communications.
Dr. Hiroshi Harada is a professor in the Graduate School of Informatics at Kyoto University and an executive research director at NICT’s Social ICT Research Center. He researches software defined radio, cognitive radio, dynamic spectrum access, wireless smart utility networks, and broadband wireless access systems. He is a member of the board of directors for the Dynamic Spectrum, Wi-SUN, and WhiteSpace alliances and the author of Simulation and Software Radio for Mobile Communications.
THE CHALLENGE
We needed to develop a comprehensive evaluation system that implements our proposed universal time-domain windowed OFDM (UTW-OFDM) in an actual LTE system to demonstrate feasibility and practicality. Implementing the UTW-OFDM requires modification and/or customization of the modem IC, which is costly and time- consuming. In addition, IC-based implementation constrains the flexibility of the experimental evaluation during which we need to optimize parameters for various conditions.
THE SOLUTION
We developed the Real-time Wave-shaping System shown in Figure 2 with off-the-shelf LTE components. Using this system, we successfully conducted the world’s first demonstration of a UTW-OFDM-based LTE system. Our proposed UTW-OFDM can reduce the OOBE by about 20 dB at channel edges without any throughput deterioration. Our results also showed that the UTW-OFDM is highly compatible with the conventional CP-OFDM since we established the communication link without modifying the receiver. All in all, the proposed UTW-OFDM can help smooth the transition from 4G systems to 5G and beyond systems.
The Real-time Wave-shaping System, which includes the RF transceiver unit, the baseband signal processing unit, and the control unit, can be easily designed and implemented using the NI platform and solutions. We incorporated LabVIEW software as a graphical system design tool and FlexRIO hardware to create a systematic software defined radio development platform. We reduced the development cost by more than 90 percent, and the development period was only three months.
WHAT’S NEXT
We are evaluating system performance using a fading emulator, assuming a real communication environment. In parallel, we will soon perform field experiments to emit radio waves by attaching antennas to the UTW-OFDM- based LTE system.
Read the entire research paper.
Flexible Real-Time Waveform Generator for Mixed-Service Scenarios
Providing a Unified FPGA Implementation for On-the-Fly Reconfigurable Waveform Generation
Martin Danneberg; Ahmad Nimr; Maximilian Matthe; Shahab Ehsan Far; Ana-Belen Martinez; Zhitao Lin; and Prof. Dr. Gerhard Fettweis, Vodafone Chair for Mobile Communications Systems, Department of Electrical Engineering and Information Technology, TU Dresden
USER PROFILE
Martin Danneberg received his master’s degree in electrical engineering from TU Dresden in 2013. Since September 2013, he has led the research activities for the EU projects CREW, eWINE, and ORCA as a member of the Vodafone Chair. His professional interests include nonorthogonal waveforms for future communication systems, especially FPGA-based prototype implementations of flexible multicarrier modulation schemes.
Prof. Dr. Gerhard P. Fettweis earned his doctorate from RWTH Aachen in 1990. Since 1994, he has served as the Vodafone Chair Professor at TU Dresden, with 20 companies from Asia, Europe, and the United States sponsoring his research on wireless transmission and chip design. In Dresden, he has spun out 11 start-ups and set up funded projects generating close to a half billion euros.
THE CHALLENGE
Wireless networks operating in unlicensed bands suffer because multiple radio technologies share one frequency resource, which causes cross-technology interference. However, to connect all applications, various technologies must be supported in industrial scenarios. One step toward solving those challenges is to use a unified flexible physical layer (PHY) chipset and connect it with multiple chipsets to interlink the different wireless nodes. Since a single flexible chipset is used, its signal processing parameters must be reconfigured quickly to emulate the different radio access technologies.
THE SOLUTION
The Vodafone Chair for Mobile Communications Systems at Technical University Dresden used NI rapid prototyping SDR tools and the LabVIEW Communications System Design Suite to develop a flexible PHY transmitter based on real-time FPGA processing. The prototype supports waveform generation for diverse systems such as WiFi, Bluetooth and ZigBee, LTE, and 5G. Moreover, the implementation is runtime-configurable, meaning that the frame structure can be changed arbitrarily between frames without delaying the ongoing transmission. Such flexibility is mandatory for optimally using available time-frequency resources by aligning different services in time and frequency without delay when switching between different waveforms.
WHAT’S NEXT
We will verify the implementation in real applications such as seamlessly switching between streaming and low- latency services. Moreover, we will unify the FPGA interface implementation to ease the host-side configuration.
Read the entire research paper.
In-Band Full-Duplex SDR for MAC Protocol With Collision Detection
Dr. Sofie Pollin, Professor; Dr. Tom Vermeulen, Solution Engineer; and Seyed Ali Hassani, PhD Researcher, Networked Systems Group, KU Leuven
USER PROFILE
Dr. Tom Vermeulen obtained his bachelor’s and master’s degrees in electrical engineering from KU Leuven in Belgium. He researched in-band full-duplex SDR under the supervision of Dr. Sofie Pollin in the Networked Systems Group. In 2016, as a visiting scholar at UCLA, he worked on simultaneous transmissions and collision detection. He obtained his doctoral degree and joined Proximus in 2017.
Seyed Ali Hassani obtained his bachelor’s degree in electrical engineering from Arak Azad University in Arak, Iran, in 2008. He then worked as an R&D engineer in industry to gain his professional experience. Hassani earned his master’s in information technology/signal processing from Tampere University of Technology in Finland in 2016. He is a doctoral candidate at KU Leuven focusing on vehicular networking.
Dr. Sofie Pollin obtained her doctorate at KU Leuven in 2006. She returned to imec to become a principal scientist in the green radio team in 2008. In, 2012, she became an assistant professor in the electrical engineering department at KU Leuven. Pollin researches networked systems that require networks that are more dense, heterogeneous, battery powered, and spectrum constrained.
THE CHALLENGE
Because the number of wireless devices has been increasing rapidly over the last year, ultra-efficient protocols are needed to share the spectrum fairly and efficiently. Wireless networks also must satisfy latency constraints and minimize energy consumption.
THE SOLUTION
We exploited the bidirectional capability of in-band full-duplex radio to detect signal collisions and interference. As soon we determined a MAC frame was erroneous, we aborted the frame transmission to save spectrum and energy resources. Basically, full-duplex technology enables a radio to transmit and receive simultaneously and in the same channel. We can use this listen-while-transmit capability to assess the channel in transmission time. In this case study, we implemented a real-time collision detector based on the statistical evaluation of the received signal. Our novel Full-Duplex Carrier Sense Multiple Access with Collision Detection (FD CSMA/ CD) MAC can improve the network throughput fivefold and reduce the energy consumption by 50 percent, as noted in our presentation “Performance Analysis of In-Band Full-Duplex Collision and Interference Detection in Dense Networks,” at 2016 IEEE Annual Consumer Communications Networking Conference. For prototyping, we accelerated our implementation using NI USRP devices and the LabVIEW Communications System Design Suite.
WHAT’S NEXT
We are working on improving the sensitivity of the collision detector using deep learning. We hope to provide experimental results for a network of five full-duplex-capable nodes to support outdoor scenarios.
Read the entire research paper.
Bandwidth-Compressed Spectrally Efficient Communication System
Conducting Software Defined Radio Design and Over-the-Air Transmission of Spectrally Efficient Frequency Division Multiplexing (SEFDM) Signals
Waseem Ozan, Dr. Ryan Grammenos, Hedaia Ghannam, Dr. Paul Anthony Haigh, Dr. Tongyang Xu, and Prof. Izzat Darwazeh, Institute of Communications and Connected Systems, Department of Electronic and Electrical Engineering, University College London
Waseem Ozan earned his MSc degree in wireless and optical communications in 2015 with distinction from the Department of Electronic and Electrical Engineering at University College London (UCL). He rejoined UCL in January 2016 as a doctoral student on a UCL-funded studentship to work on a new signal format developed jointly by UCL and Princeton University.
Dr Ryan Grammenos is a senior teaching fellow in the Department of Electronic and Electrical Engineering at UCL. He graduated with an engineering doctorate from UCL in 2013 focusing on the mathematical modelling and hardware realisation of novel communication transceivers. Grammenos’ research interests are signal processing for communications, software defined radio, and the Internet of Things.
Professor Izzat Darwazeh is the chair of Communications Engineering and the director of the Institute of Communications and Connected Systems at UCL. He has been teaching and researching communications circuits and systems for over three decades and has published widely in these areas. He works as a consultant to various industries and governmental and legal organisations worldwide.
THE CHALLENGE
Billions of devices will soon be connected to the Internet in line with the vision of the Internet of Things (IoT). This means 5G must make highly efficient use of the wireless spectrum. Spectrally efficient frequency division multiplexing (SEFDM) has the potential to make better use of the spectrum through bandwidth compression but at the cost of higher levels of interference. Our challenge was to create a real-time testbed, on a popular platform, for SEFDM to be investigated widely.
THE SOLUTION
We demonstrated the world’s first real-time SEFDM system using USRP RIO and the LabVIEW Communications System Design Suite. The key innovation was in the deployment of a novel real-time channel estimation and equalisation algorithm, combined with a real-time iterative detector. Our system compressed transmitted signal bandwidths by up to 60 percent to offer significant bandwidth savings relative to the multicarrier signals used in current communication systems. By working with various modulation formats, the system allowed for testing in 5G scenarios. We used two USRP devices, one for the transmitter and the other for the receiver. We programmed the transmitter and receiver using LabVIEW and then directly programmed the FPGAs to facilitate speed and flexibility. We implemented over-the-air testing using antennas and completed more demanding tests using a channel emulator.
WHAT’S NEXT
Multiantenna systems will be constructed and bandwidth will be extended to transmit at much higher frequencies (mmWave) and deploy in real-life scenarios with multimedia signals. We will be able to compare these systems with existing wireless standard systems and show their advantages.
Read the entire research paper.
World-Leading Parallel Channel Sounder Platform
Building 64×64 MIMO Parallel Channel Sounder Hardware Based on the CDMA Method Using NI PXI Modular Instruments and Post-Processing Software
Haowen Wang and Dr. Yang Yang, Shanghai Research Center for Wireless Communications
USER PROFILE
Haowen Wang is a senior engineer at the Shanghai Research Center for Wireless Communications (WiCO). He received bachelor’s and master’s degrees in computing and software from Fudan University in Shanghai in the People’s Republic of China. As a LabVIEW champion, he has more than 13 years of LabVIEW development experience. His interests include RF data acquisition, channel measurement, and verification and test solutions.
Gui Yunsong is a senior system engineer at the Shanghai Institute of Microsystem and Information Technology (Chinese Academy of Sciences). He has worked as a senior baseband algorithm engineer in Huawei for many years. He has 15 years of experience in wireless communication system design. In recent years, his research has focused on 5G communication demo system design using the SDR platform.
THE CHALLENGE
As the number of transmitting and receiving antennas increases, it is crucial that we capture dynamic channel characteristics and develop realistic channel models to achieve spectrum and energy efficient design (SEED) objectives in future wireless networks. This difficult task includes:
■ Picosecond-level synchronization across multiple channels
■ Real-time storage of multiple raw channels of measurement data
■ High-speed parallel calibration methods to compensate for nonideal channel responses
■ High-accuracy channel parameter estimations based on aliasing MIMO channel signals
THE SOLUTION
We developed our parallel channel sounder platform using NI products for sub-6 GHz spectrum and millimeter wave. It supports 8×8 paths (can be extended to 64×64) and 200 MHz/ch bandwidth under sub-6 GHz and supports 2×2 and 2 GHz/ch bandwidth at the millimeter-wave band. Our platform addresses the above challenges with the following features:
■   Picosecond-level synchronization—To achieve  accurate AoA/DoA estimation, we  designed  a synchronization method to limit misalignment across all TX/RX channels to around a 30 ps reference like NI-TClk technology.
■ 51.2 Gbps parallel data streaming—Our DMA-FIFO-based data-streaming method can take advantage of the huge bandwidth of the backplane bus and use zero-copy technology to effectively reduce delay by avoiding extra copies and state transitions.
■ High-speed calibration method—Different from traditional methods, our MIMO calibration can quickly achieve a MIMO RF channel’s response by transmitting a PN sequence through a MIMO coupler, whose frequency response is measured before, separating at the receiver side only once.
■ www.wise.sh—We set up an online shared open channel measurement database for research. It features all the data measured by the parallel channel sounder platform.
WHAT’S NEXT
In terms of software, we will finish verifying estimation results by comparing the results from measurement with ray-tracing software. In terms of the sounder platform, we will extend the system to 64×64 channels under sub-6 GHz and extend to a 110 GHz channel sounder at the millimeter-wave band.
Distributed Massive MIMO: Algorithm for TDD Reciprocity Calibration
Liesbet Van der Perre, Guy A. E. Vandenbosch, and Sofie Pollin, Professors; Cheng-Ming Chen and Andrea P. Guevara, PhD Researchers; and Vladimir Volskiy, Postdoctoral Researcher, Networked Systems Group, KU Leuven
USER PROFILE
Cheng-Ming Chen received his master’s degree from GICE in NTU, Taiwan, in 2006. He has worked as a baseband design engineer for WiMAX and LTE in ITRI and a senior system design engineer at BRCM, where he mainly focused on Wi-Fi receiver performance verification. He is a doctoral candidate at KU Leuven investigating real-world propagation characteristics of distributed Massive MIMO with an NI testbed.
Dr. Sofie Pollin obtained her doctorate at KU Leuven in 2006. She returned to imec to become a principal scientist   in the green radio team in 2008. In, 2012, she became an assistant professor in the electrical engineering department at KU Leuven. Pollin researches networked systems that require networks that are more dense, heterogeneous, battery powered, and spectrum constrained.
THE CHALLENGE
We need a large-scale Massive MIMO channel model. We know that distributed Massive MIMO exploits diversity more efficiently and can potentially offer much higher probability of coverage, but we still face the challenges of backhaul, synchronization, and time division duplex (TDD) reciprocity calibration. Our work focuses on an algorithm to improve TDD reciprocity calibration for equally distributed collocated arrays.
THE SOLUTION
We created the distributed systems by connecting our two 32-antenna testbeds to the main chassis with a 10 m optical fiber cable using NI USRP RIO, LabVIEW Communications Systems Design Suite, and MIMO Application Framework. We can use the hierarchical-based calibration method to address the huge dynamic range between the channel gain of intra subarrays and inter subarrays. To increase diversity and array gain during intercluster calibration, we can apply maximum ratio combining and maximum ratio transmission. Therefore, unlike when using the conventional method, we can collect all multiple input single output (MISO) gain in one shot during intercluster calibration. We can use distributed antenna arrays to help decorrelate closely collocated users in both LoS and NLoS scenarios.
WHAT’S NEXT
We want to emulate the pilot contamination effect using two cells that share the spectrum. Based on the channel characteristics, we can efficiently assign pilots in two virtual cells and reduce pilot contamination. We can also use frame structure modification to reduce pilot contamination. With the virtual two-cell testbed, we can evaluate the performance in the real world.
Read the entire research paper.
Wideband/Opportunistic Map-Based Full-Duplex Radios
Using Spectrum/Spatial Sensing-Based Wideband Full-Duplex Radios and Opportunistic MAP-Based Flexible Hybrid-Duplex Systems in Network Sharing
Soo-Min Kim, Dr. Seong-Lyun Kim, and Dr. Chan-Byoung Chae, Yonsei University
USER PROFILE
Soo-Min Kim is a doctoral student at Yonsei University in Seoul, Korea. His research interests are prototyping algorithms and real-time software defined radio architectures of next-generation wireless communication networks. Kim was awarded a full scholarship from the Korean government’s Ministry of Science, ICT and Future Planning (MSIP).
Dr. Seong-Lyun Kim* is a professor of wireless networks in the School of Electrical and Electronic Engineering at Yonsei University. He manages the Radio Resource Management and Optimization Laboratory and the Center for Flexible Radio. He was an assistant professor of radio communication systems in the Department of Signals, Sensors, and Systems at the Royal Institute of Technology in Stockholm, Sweden.
Dr. Chan-Byoung Chae is the Underwood DistinguishedProfessor at Yonsei University. He was a visiting associate professor at Stanford University in 2017. Before joining Yonsei, he was with Bell Laboratories, Alcatel-Lucent from 2009 to 2011. He was a postdoctoral research fellow at Harvard University from 2008 to 2009 after earning his doctorate in electrical and computer engineering from The University of Texas at Austin in 2008.
*This case study features joint work with Dr. Seong-Lyun Kim at Yonsei University.
THE CHALLENGE
We tried to alleviate the spectrum crunch by canceling out self-interference, optimizing pilot patterns and synchronization, and defining proper decisions based on an opportunistic map (OP MAP).
THE SOLUTION
We created the first implementation of OP MAP-based flexible hybrid-duplex systems in sensor-aided cognitive radio networks to maximize system throughput and spectral efficiency. It offers stochastic geometry-based OP MAP calculation with LTE-based full- and half-duplex radios based on the LabVIEW Communications LTE Application Framework.
SYSTEM SCENARIO
The system features a sensor-aided mode, specifically for Internet of Things (IoT) applications, based on device-to- device (D2D) communications. We can use a full-duplex technique to enable more efficient network sharing. We also can conduct testbed experiments indoors and network simulations for outdoor scenarios. The system uses one sensor-based opportunistic algorithm with random MAC decision making.
SYSTEM ARCHITECTURE
The system architecture is designed to sense the interference level at a sensor’s location. It converts the sensing database to an OP MAP to determine whether to transmit the signal. It distributes the OP MAP from the server to secondary nodes to allow the operation of hybrid-duplex radios (full-duplex, half-duplex, and silence modes).
WHAT’S NEXT
Now we are enlarging our algorithm to make a more practical implementation that can manage multiple users with full-duplex radios. Also, we are applying it to wideband matters to achieve high system throughput and verifying results by comparing it with 3D ray-tracing software.
Read the entire research paper.
An Experimental SDR Platform for In-Band D2D Communications in 5G
Max Engelhardt and Dr. Arash Asadi, Technische Universität Darmstadt
USER PROFILE
Max Engelhardt holds a master’s degree in IT security from Technische Universität Darmstadt in Germany. He works as a student assistant at the Secure Mobile Networking Lab (SEEMOO). His research interests include security in wireless networks, 5G cellular networking, device-to-device (D2D) communication techniques, and software defined radio (SDR) prototyping.
Dr. Arash Asadi received his doctorate in telematics engineering from Carlos III University of Madrid (UC3M) in 2016. He joined SEEMOO at Technische Universität Darmstadt in March 2016 as a postdoctoral researcher. His research interests include 5G cellular networking, millimeter-wave communication, D2D communication techniques, and SDR prototyping.
THE CHALLENGE
D2D communications has been shown to significantly improve spectral and energy efficiency in cellular networks; thus, it is considered a key feature in forthcoming 5G networks. Despite growing research interest on this topic, academia is still lacking important tools to evaluate and further explore the potential of D2D communications under realistic conditions. This is especially true for in-band D2D communications, for which the D2D link must use licensed cellular frequencies.
THE SOLUTION
We based our experimental SDR platform on the NI USRP RIOs and LabVIEW Communications LTE Application Framework, which we extended to allow one eNodeB to serve multiple user equipment (UE) devices simultaneously using orthogonal frequency division multiplexing access (OFDMA). We further extended the framework’s UE design to feature multiple OFDMA-multiplexed uplink transmissions and an uplink receiver. These extensions enabled us to use part of the uplink spectrum for a D2D channel between UE devices. Our system can operate in one of two modes. In Legacy Downlink Mode, the eNodeB transmits each UE device’s payload data directly to the respective UE. In D2D Relay Mode, it sends both UE devices’ payload data to the UE device with the better downlink channel, which then relays the other UE device’s payload via the D2D channel. Our eNodeB features a lightweight, quality- aware scheduler that allows dynamic switching between the two modes based on reported channel qualities.
WHAT’S NEXT
To further improve our platform, we are exploring the integration of outband frequency bands into our system and decentralized scheduling approaches, during which UE devices can organize D2D transmission in the absence of cellular infrastructure.
Read the entire research paper.
Wideband Multi-channel Signal Recorder for Radar Applications
Achieving Multisite Synchronous and Coherent RF Signal Acquisition and Recording With a LabVIEW Application When Synchronized to a GPS Time Reference
Bartosz Dzikowski, Marcin Baczyk, Łukasz Mas´ likowski, and Jedrzej Drozdowicz, Institute of Electronic Systems, Warsaw University of Technology
USER PROFILE
Bartosz Dzikowski received his Dipl. Ing. degree in technical physics from Nicolaus Copernicus University in Torun´ , Poland, in 2013, and his master’s degree from the Warsaw University of Technology in 2016. He is a LabVIEW developer and a doctoral student at the Warsaw University of Technology.
Marcin Kamil Baczyk obtained his master’s degree in 2011 from the Faculty of Electronics and Information Technology at the Warsaw University of Technology. His research interests include digital signal processing for radar and radar experiments carried out both in the laboratory and outdoors, including ground-scattering measurements. He works on inverse synthetic aperture radars, passive radar, and radar tomography.
THE CHALLENGE
To conduct radar research, we needed to acquire RF signals coherently from multiple channels. We also had to know how to stream that acquired data to disk for offline analysis or implement online live processing, which involves handling gigabytes of data per second. In applications like multistatic radars, we needed a multisite and coherent RF recording not only to synchronize channels at one site but also to synchronize channels and provide high-phase stability across different sites that can spread over many kilometers.
THE SOLUTION
We developed the wideband multichannel signal recorder, which is a LabVIEW application that coherently acquires RF signals from NI devices. The recorder provides waveform streaming to a RAID disk and enables us to preview signals and their spectra before and during the acquisition. It supports up to 10 measurement channels of NI-RFSA or NI-USRP devices. When we use NI PXIe-6674T (timing) and PXIe-6683H (GPS) modules, we can synchronize the measurement system to the GPS time reference and trigger it precisely at a given time. This allows multisite synchronous and coherent RF recording, which is particularly important in multistatic radar research. Moreover, the application works with the NI-PXImc driver software interface, which allows online data streaming to a processing unit and implementing a real-time radar. NI hardware and our LabVIEW recorder make building a radar faster, cheaper, and easier.
WHAT’S NEXT
Users can create their own measurement scenarios, implement a processing procedure to create an online radar, or stream recorded waveform to a RAID disk and analyze it offline. In the future, more acquisition devices will be supported to increase bandwidth and offer a range of possibilities.
Passive and Active Radar Imaging
Designing and Testing Passive and Active Synthetic Aperture Radar (SAR) Demonstrators With NI Software Defined Radio (SDR) Hardware
Damian Gromek, Dr. Piotr Samczynski, Piotr Krysik, and Krzysztof Kulpa, Research Lab on Radar Techniques, Institute of Electronic Systems, Warsaw University of Technology
USER PROFILE
Damian Gromek received his master’s degree in electronics from the Warsaw University of Technology in Poland in 2011 and has been a doctoral candidate there ever since. He is working as a research assistant, and his research interests are radar signal processing, active and passive SAR, and passive radar.
Dr. Piotr Samczynski received his bachelor’s and master’s degrees in electronics and doctorate degrees in telecommunications all from the Warsaw University of Technology. Dr. Samczynski’s research interests are in the areas of radar signal processing, passive radar, synthetic aperture radar and digital signal processing.
THE CHALLENGE
We needed to design and test innovative active and passive SAR demonstrators in a short amount of time. SAR allows us to obtain a 2D image of the ground landscape. The classical SARs are active radars, which illuminate the targets using their own transmitters. The new trend in radiolocation is passive radar technology, which uses an existing net of transmitters of opportunity to illuminate the target for imaging purposes.
THE SOLUTION
By combining NI SDR hardware with commercial off-the-shelf (COTS), we could quickly design and test active and passive radars. During our research, we tested both passive and active SAR imaging technologies. In both solutions, we built the demonstrators using NI USRP hardware. We built an active radar as a frequency modulated continuous wave (FMCW) radar. In this solution, one Tx channel emits signals and the second Rx channel receives radar echoes. This results in a 2D image of the ground landscape. In the second, passive radar solution, the USRP uses only the Rx channels of USRP devices to collect reference signals from DVB-T transmitters of opportunity, and we used surveillance signals reflected from targets. We’ve validated both demonstrators in real conditions using an airborne platform as a radar carrier.
WHAT’S NEXT
The higher bandwidth of the generated signal gives the higher range resolution; therefore, the solutions with 1 GHz and higher bandwidths are most interesting. In addition, we’re interested in the higher bands for active radars (for example, X and K bands).
Read the entire research paper.
Multiantenna Technology for Reliable Wireless Communication
Comparing Multiantenna Techniques for V2X and UAV Communications Using Live LTE Network Signals Recorded by a USRP-Based Channel Sounding Measurement Setup
Madalina C. Bucur, Tomasz Izydorczyk, Dr. Fernando M.L. Tavares, Carles Navarro-Manchon, Gilberto Berardinelli, and Preben Mogensen, Wireless Communication Networks Section (WCN), Department of Electronic Systems, Aalborg University
USER PROFILE
Dr. Fernando M.L. Tavares received his master’s degree from the University of Brasilia in Brazil and his doctorate degree from Aalborg University in Denmark. Both degrees focused on wireless communications. He is an assistant professor at the WCN at Aalborg University and visiting researcher at Nokia Bell Labs Denmark. His research interests include MIMO, interference management, and advanced transceiver design.
Tomasz Izydorczyk received his master’s degree in mobile communications from Telecom-ParisTech/Eurecom. His thesis focused on unlicensed spectrum extensions for NB-IoT. In 2016, he was a research intern with Intel Mobile Communications. He is pursuing a doctorate degree supervised by Preben Mogensen at Aalborg University. His research interests include the potential use of MIMO techniques for URLLC and UAV communications.
THE CHALLENGE
Multiantenna signal combining techniques like minimum mean square error (MMSE) improve signal reception performance, but they don’t work well in highly interfered scenarios. Alternatively, multiantenna receivers estimating the direction of arrival (DOA) of incoming signals can tell the difference between desired and interfering contributions, which enables efficient beam steering toward the intended direction(s). The emergence of new use cases for vehicular communication presents new opportunities to exploit advanced multiantenna techniques on the user equipment (UE) side. We aimed to experimentally validate the potential of such techniques for vehicle and drone use cases.
THE SOLUTION
We designed a USRP-based channel sounding measurement setup (Figure 1) with a 16-antenna circular array to estimate the spatial characteristics of the radio channel. We used it for measurements in a variety of vehicular scenarios (for V2X, the equipment was installed on a van; for UAV, it was lifted up 40 m high by a crane). The setup was designed to estimate the DOA of live LTE signals so we could derive the spatial distribution of intercell interference in a real LTE network. The measurement methodology consisted of recording I/Q samples and post- processing them to extract the cell-specific reference symbols (CRS) from the LTE time-frequency grid. Then we used the channel estimates to approximate multipath components (direction, power, and delay) from desired and interfering signals using algorithms such as MUSIC and SAGE.
WHAT’S NEXT
We will compare beamforming techniques (digital/analog) with multiantenna signal combining solutions. Then we will use that set of measurements to derive the statistical information for the spatial interference distribution. The goal is assessing the effective benefits of large antenna arrays on the UE side in real scenarios.
Radio Propagation Analysis for the Factories of the Future
Analyzing the Lower Percentiles of Radio Channel Statistics (Ultra-Reliable Regime) With Limited Effort Using Multinode Multiantenna Channel Sounding
Dereje A. Wassie, Emil J. Khatib, Dr. Ignacio Rodriguez-Larrad, Gilberto Berardinelli, Troels B. Sørensen, and Preben Mogensen, Wireless Communication Networks Section (WCN), Department of Electronic Systems, Aalborg University
USER PROFILE
Dereje Assefa Wassie received his bachelor’s degree in electrical engineering from Jimma University in Ethiopia and his master’s degree in telecommunication engineering from Aalborg University in Denmark. He is pursuing a doctorate degree in wireless communication from the Department of Electronic Systems at Aalborg University. His research interests include measurement system design and the experimental analysis of 5G communication concepts.
Dr. Ignacio Rodriguez-Larrad received his doctorate degree in wireless communications from Aalborg University. He is a postdoctoral researcher at the same institution, working in close collaboration with Nokia Bell Labs. His main research interests are radio propagation, channel modeling, ultra- reliable and low-latency communications, and industrial IoT. He is a corecipient of the 2017 IEEE VTS Neal Shepherd Memorial Award.
THE CHALLENGE
The Fourth Industrial Revolution aims to make factories smart by coordinating disparate cyber-physical systems. Wireless technologies (key enablers for flexibility, cost reduction, and mobility in the factories of the future) must therefore provide reliable communication among the different agents. Because industrial environments are complex radio propagation scenarios, predicting the performance of wireless systems requires measurement campaigns that are extensive enough to capture rare events in the tails of the channel statistics (ultra-reliable regime).
THE SOLUTION
We developed a channel sounding testbed using NI hardware (USRP-2953) and LabVIEW software. The testbed was composed of 12 transceiver nodes with 4×4 MIMO capabilities. With a TDMA transmission scheme, we measured the channel responses between all the testbed nodes at 2.3 GHz and 5.7 GHz carrier frequencies using 24 MHz wideband sounding signals. By performing only a few redeployments, we acquired many spatially relevant samples with limited effort. For example, covering all possible combinations over 24 spatial positions, which takes six redeployments and approximately three hours, we obtained a total of 24 x 23 x 16 = 8832 independent radio link samples. With this number of samples, we obtained insights on the channel statistics close to the 10-4 percentile, which is representative of the 99.99 percent of spatial availability.
WHAT’S NEXT
We will perform more measurements in industrial scenarios. Because we designed the testbed to be flexible, these new measurements can encompass different frequencies, different antenna configurations, and different frame structures for the TDMA transmission. Furthermore, we are developing additional features for experimental verification of envisioned 5G technology components within the H2020 ONE5G project.
Shared Software Communications Resource Hub
Maximizing Value and Productivity: Application Examples
Leading researchers from around the world have offered free, downloadable code to the public. Because of this, developing applications no longer requires months of work. Access these application examples and begin building your wireless communications applications using NI software defined radio solutions.
KU Leuven, a leading wireless network systems research group led by Dr. Sofie Pollin, is focused on developing applications for heterogeneous, battery-powered, and spectrum-constrained wireless networks. The software has been used to implement in-band full-duplex communications with CSMA/CD.
Download the free LabVIEW Code.
University College London, a leading communications and connected systems research group led by Dr. Izzat Darwazeh, is focused on developing applications for spectrally efficient frequency division multiplexing (SEFDM) communications. The software has been used to implement SEFDM with compressed bandwidth.
Download the free LabVIEW Code.
TU Darmstadt, a leading research group in the Secure Mobile Networking Lab led by Dr. Arash Asadi, is focused on developing applications for in-band device-to-device (D2D) communications. The software has been used to add multi-UE support for the LabVIEW Communications LTE Application Framework as well as D2D communications.
Download the free LabVIEW Code.
LabVIEW Communication System Design Suite includes next-generation LabVIEW packaged with relevant add-ons specifically created to help you rapidly develop, prototype, and deploy wireless communications systems with software defined radio (SDR) hardware.
Try 1 month free.
©2018 National Instruments. All rights reserved. LabVIEW, National Instruments, NI, ni.com, NI FlexRIO, and USRP are trademarks of National Instruments. Other product and company names listed are trademarks or trade names of their respective companies. 29982
    Wireless Research Handbook: 3rd Edition syndicated from https://jiohowweb.blogspot.com
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pujacontrol · 1 year ago
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Unleashing the Power of NI LabVIEW Development Services by Puja Controls
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In the realm of cutting-edge technological solutions, NI LabVIEW Development Services stand tall as a beacon of innovation, offering a myriad of possibilities for businesses seeking seamless integration and optimal performance. At Puja Controls, we take pride in steering the course of technological evolution, providing unparalleled LabVIEW development services tailored to meet the unique needs of our clients.
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In conclusion, Puja Controls emerges as the catalyst for businesses aiming to harness the full potential of NI LabVIEW development services. Our commitment to precision, innovation, and client satisfaction sets us apart in the competitive landscape of LabVIEW development. Partner with Puja Controls, and let us propel your business into a future where technology meets unparalleled excellence.
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pujacontrols · 2 years ago
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Data Acquisition Systems and Services
Puja Controls may provide hardware solutions to meet a range of needs, from turn-key production test systems to extendable research platforms. High-quality Hardware Development & Integration solutions are what we offer to clients. Data collection, recording, or phenomenon analysis procedures are referred to as "data acquisition systems." When a technician measures the temperature of an oven and then writes down the results, data capture is truly taking place. Data collection devices are used by research facilities, steel mills, utility companies, and other facilities. These devices analyse and monitor a particular parameter. The information gathered by data collecting devices can then be used to guarantee that machinery operates properly, that specific tasks are completed successfully, and that the outcomes are reliable. Puja Controls can deliver Data Acquisition Systems and Services on time.
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tmcsindia · 2 years ago
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Theta Measurement and Control Solutions Pvt Ltd (TMCS)
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Theta Measurement and Control Solutions Pvt Ltd (TMCS), established in 2013, is an industry leader in providing cost-effective industrial automation, test, measurement, and control solutions. This has enabled customers to provide cutting-edge technology solutions. We specialize in designing custom automated test equipment that is made to order to meet each customer's unique requirements. This includes commissioning measuring devices, software, data collection and control systems, and data gathering hardware that complies with industry standards.
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Engineers with extensive experience who are adept at evaluating needs, developing ideas, and creating formats specifically suited for those needs found across many industries supervise the work at TMCS. The TMCS team provides end-to-end solutions as well as services including integration, delivery, installation and commissioning, training, and end-to-end solutions while providing unwavering support throughout all development phases.
AUTOMATED TEST EQUIPMENT SERVICES
To conduct tests on various devices, commonly referred to as devices under test, a device called Automated Test Equipment Companies (ATE) is built (DUT). An ATE Test efficiently completes tests that calculate and quantify a DUT utilizing automated information technologies and control systems. ATE testing is often used in electronic component manufacture, wireless communication, radar, and automobile testing. The integration of whole systems and connected subsystems is a Speciality of Automated Test System TMCS. We have achieved ATE Testing - related tasks using flexible, software-centric interfaces. With the most recent designs, real-time measurement and analysis are possible with better performance by modifying the functionality of commercially available off-the-shelf components.
Expanding client expectations, stringent restrictions, clearly outlined important standards, and constrained time to market present significant challenges for every company offering test and measurement solutions. To deliver the required throughput, the test system needs to have strong integration, flexibility in device communication, and superior synchronization. With the assistance of the TMCS 'Team of expert engineers, your success and system lifespan will be increased.
Functional Test Bench
Benefits:
Data base management for every UUT (Unit Under Test)
Automated functionality without human interference
Testing time saved
Improved production capacity
END-OF-LINE TESTER SERVICES
End of line testing (EOL Testing) systems can be used to measure and test electronic control units, mechanical parts, and related systems for cars. Important factors to take into account are a high-test volume, test completion rates, and affordable system upgrading costs. Nowadays' complicated automotive electronics make having a flexible test platform necessary. The End of Line Testing platform that TMCS delivers is flexible and ensures perfect consistency.
Each sort of UUT may be tested thoroughly, quickly, accurately, and without mistake using an end-of-line system.
Motor Test System
The control panels' features include: - EOL testers are designed to regulate and record data from a motor that is being tested.
- A number of tests, including those for temperature increase and voltage control, may be run automatically.
- The display of Pass and Fail results will be dependent on preset data.
Alternator Test System
We were able to finish the test 12 to 14 minutes faster and reduce the test cycle time for the alternator by more than 10% by discovering and selecting the right NI resources. The Challenge: The customer wanted us to develop a system that would CONTINUOUSLY MONITOR the temperature rise throughout the heat-run test for testing alternators at the end of the line.
ECU Test Bench
ECU testing is often done with EOL System. All electrical cords must be manually connected before the operator may choose a model and begin testing. The management can decide the order in which various ECU model tests are run.
Outer Door Handle EOL Testing
Several door handle movements used by a driver to lock or unlock the automobile are mimicked on a test bench.
Spring Tester
An EOL tester is used to calculate compression and tension values for springs of various sizes. Using EOL Tester, test Signaling Group Relays the Excel table used to establish the testing order for each UUT (Group) is utilized.
Car Door Handle Tester
On a test bench, various door handle movements that a user may make to lock or unlock an automobile are simulated.
A door switch is pressed, a component is detected, and a capacitance test is performed.
The system is made up of an electromechanical and pneumatic assembly and an NI Hardware (Rugged Fan Less Embedded Controller) based system.
The system keeps track of the capacitance, current, and force.
System-Conducted Test:
Button Test
Capacitance Test
Hall Sensor Test
Part Presence Test
Capacitive Sensor Test
Test Monitoring is done for variables including current, force, displacement, speed, and magnetic field.
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pujacontrol · 1 year ago
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Unleashing the Power of NI Software Consulting: A Puja Controls Perspective
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Introduction
In the dynamic landscape of technology, navigating the realms of NI Software Consulting demands a strategic approach. At Puja Controls, we redefine excellence through a nuanced understanding of this specialized domain. Our commitment lies in delivering unparalleled solutions that elevate your business operations to new heights.
Understanding NI Software Consulting
What Sets Puja Controls Apart?
In the realm of NI Software Consulting, Puja Controls stands as a beacon of innovation. Our team, driven by passion and expertise, propels us to the forefront of the industry. Exceptional in our approach, we pride ourselves on the ability to seamlessly integrate cutting-edge technologies, ensuring optimal performance for our clients.
Tailored Solutions for Every Need
Puja Controls recognizes that each business is unique. Hence, our NI Software Consulting services are not one-size-fits-all. We meticulously analyze your requirements, understanding the intricacies of your operations, and craft bespoke solutions that align with your objectives. Our commitment is to deliver tailor-made software solutions that transcend expectations.
The Puja Controls Advantage
Expert Team at Your Service
At Puja Controls, our success is rooted in our team of experts. Our NI Software Consulting professionals boast a wealth of experience and expertise, ensuring that every project is handled with precision. We foster an environment that encourages continuous learning and innovation, guaranteeing that our clients benefit from the latest advancements in the field.
Seamless Integration and Implementation
Efficiency is paramount in the world of NI Software Consulting. Puja Controls excels in providing solutions that seamlessly integrate into your existing infrastructure. Our implementation strategies are designed to minimize disruption while maximizing the impact of our software solutions on your business processes.
Puja Controls in Action
Real-world Success Stories
Case Study: Enhancing Operational Efficiency
Puja Controls collaborated with [Client X], a leading industry player facing operational challenges. Through our NI Software Consulting, we devised a bespoke solution that streamlined their processes, resulting in a 20% increase in overall efficiency within the first quarter of implementation.
Case Study: Achieving Scalability
For [Client Y], scalability was a concern hindering their growth. Puja Controls, with its expertise in NI Software Consulting, provided a solution that not only addressed current needs but also laid the foundation for scalable growth. The result? Doubled operational capacity within six months.
The Future of NI Software Consulting
Embracing Technological Advancements
Puja Controls remains at the forefront of NI Software Consulting by embracing emerging technologies. Our commitment to research and development ensures that our clients are future-ready, equipped to navigate the evolving technological landscape.
Conclusion
In the realm of NI Software Consulting, Puja Controls emerges as a trailblazer, redefining standards through innovation and expertise. Our commitment to delivering customized solutions and driving operational excellence positions us as the ideal partner for businesses seeking to harness the full potential of NI Software Consulting.
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pujacontrol · 1 year ago
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Unleashing the Power of NI LabVIEW: Your Ultimate Guide to Offshore Consultation with pujacontrols.com
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Introduction
In the ever-evolving landscape of technology, harnessing the capabilities of cutting-edge platforms like NI LabVIEW is crucial for staying ahead of the curve. As a leading provider in offshore consultation services, Puja Controls emerges as the go-to destination for unlocking the full potential of NI LabVIEW. In this comprehensive guide, we delve into the myriad benefits and unparalleled expertise that set us apart.
Understanding NI LabVIEW: A Brief Overview
NI LabVIEW Demystified
NI LabVIEW stands as a cornerstone in the realm of virtual instrumentation, enabling seamless integration of hardware and software for diverse applications. At Puja Controls, our consultants are adept at navigating the intricacies of LabVIEW, ensuring optimal solutions tailored to your unique needs.
The Puja Controls Advantage
Embracing a client-centric approach, Puja Controls distinguishes itself through a commitment to excellence. Our seasoned professionals possess in-depth knowledge of LabVIEW, guaranteeing top-tier consultation services that elevate your projects to new heights.
Offshore Consultation: Redefining Possibilities
Why Offshore Consultation Matters
In a globalized era, offshore consultation emerges as a strategic move for businesses seeking cost-effective and high-quality solutions. Puja Controls takes pride in offering unparalleled offshore consultation services, ensuring a seamless collaboration that transcends geographical boundaries.
The Puja Controls Commitment
At Puja Controls, we understand the nuances of offshore consultation, and our commitment extends beyond geographical constraints. Our team of experts collaborates seamlessly with clients worldwide, delivering LabVIEW solutions that transcend expectations.
Tailored Solutions for Every Industry
Industry-Specific Expertise
Puja Controls stands at the forefront of industry-specific LabVIEW consultation. Whether you operate in manufacturing, healthcare, or research, our consultants possess the expertise to tailor LabVIEW solutions that align with the unique demands of your sector.
Realizing Your Vision
Partnering with Puja Controls means entrusting your LabVIEW projects to a team dedicated to realizing your vision. Our consultants work tirelessly to understand your industry's intricacies, ensuring bespoke solutions that drive efficiency and innovation.
The Puja Controls Approach: Unmatched Expertise
Our Team of LabVIEW Maestros
What sets Puja Controls apart is our team of LabVIEW maestros. Our consultants are not just experts; they are visionaries who understand the transformative power of LabVIEW in the digital landscape.
Comprehensive Consultation Services
From initial ideation to implementation, Puja Controls offers end-to-end consultation services. Our comprehensive approach ensures that every facet of your LabVIEW project is meticulously addressed, guaranteeing success from concept to execution.
Puja Controls Client Success Stories
Empowering Businesses Globally
Discover the real impact of Puja Controls through our client success stories. From startups to industry giants, our LabVIEW consultation services have empowered businesses globally, fostering growth and innovation.
Conclusion: Elevate Your LabVIEW Experience with Puja Controls
In the dynamic world of NI LabVIEW, Puja Controls emerges as the beacon of excellence in offshore consultation. Our commitment to precision, innovation, and client satisfaction positions us as the ideal partner for unleashing the full potential of LabVIEW in your projects.
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