#AI-Based Cognitive Electronic Warfare System

[mohitbisresearch]

The Assessment of Emerging Technologies Impacting ISR in U.S. is estimated to reach $1,430.0 Million by 2037 from $430.7 Million in 2027, at a CAGR of 12.75% during the forecast period 2027-2037.

[ujwala-hole11]

Software Defined Radio Market Opportunities Advancing Automotive Communication Systems

The software-defined radio (SDR) market presents numerous opportunities across various industries, from telecommunications and defense to consumer electronics and automotive sectors. SDR allows for the reconfiguration of radio systems through software, providing flexibility, cost efficiency, and scalability. The increasing demand for communication systems that can adapt to evolving needs has opened new avenues for growth in the SDR market. This article explores the key opportunities in the software-defined radio market.

Software Defined Radio Market Opportunities: Expanding 5G Networks

With the rollout of 5G networks, the demand for SDR technology is higher than ever. SDR's ability to support multiple communication standards, including 5G, makes it an ideal solution for future-proofing wireless networks. The growth of 5G infrastructure offers significant opportunities for SDR integration, enabling faster, more efficient data transfer with lower latency.

Software Defined Radio Market Opportunities: Growth in Defense and Military Applications

The defense and military sectors have been early adopters of SDR technology due to its flexibility and ability to support secure, real-time communication. With the rising need for adaptive, secure communication systems in military operations, there is an increasing opportunity for SDR to transform how armed forces operate. SDRs offer secure communication, interoperability across different frequencies, and resistance to jamming and other interference, making them critical in modern warfare.

Software Defined Radio Market Opportunities: Internet of Things (IoT) Expansion

The growth of IoT devices is another significant opportunity for the SDR market. As the number of connected devices increases, SDRs can provide a flexible and scalable solution for managing communication between IoT devices across various frequency bands. SDR technology allows for seamless integration and communication in IoT ecosystems, supporting various protocols and frequency ranges.

Software Defined Radio Market Opportunities: Advancements in Automotive Communication Systems

Automotive manufacturers are increasingly incorporating SDR technology to meet the growing need for advanced communication systems in vehicles. With the rise of connected cars, autonomous vehicles, and vehicle-to-everything (V2X) communication, SDR can offer adaptable solutions to ensure secure and efficient communication in rapidly evolving automotive environments. SDRs enable vehicles to communicate across different radio frequencies, improving traffic safety and efficiency.

Software Defined Radio Market Opportunities: Integration with Artificial Intelligence (AI)

The integration of Artificial Intelligence (AI) with SDR presents exciting opportunities in network management, optimization, and decision-making. AI can help SDR systems optimize spectrum usage, predict network failures, and automatically adjust communication protocols. This ability to enhance efficiency and adapt to changing network conditions provides a compelling opportunity for SDR in a variety of industries.

Software Defined Radio Market Opportunities: Advancements in Cognitive Radio Technology

Cognitive radio technology, which allows SDR systems to intelligently adapt to changing radio environments, is another significant opportunity. Cognitive radios can dynamically switch frequencies and adjust transmission power based on real-time spectrum availability. This technology is particularly beneficial in crowded and congested radio frequency environments, such as urban areas or defense communications, offering opportunities to improve spectrum efficiency and network performance.

Software Defined Radio Market Opportunities: Telecom Network Evolution

Telecommunications service providers are increasingly adopting SDRs to modernize their infrastructure and support evolving network standards. With the transition to 5G, the adoption of SDR technology enables telecom providers to improve the scalability, reliability, and efficiency of their networks. SDR offers telecom companies the opportunity to streamline network management, improve service delivery, and reduce operational costs.

Software Defined Radio Market Opportunities: Cost Reduction and Scalability

SDR systems offer the opportunity for significant cost savings in comparison to traditional hardware-based radio systems. By replacing costly, specialized hardware with flexible, software-based systems, organizations can reduce expenses and improve scalability. This scalability is particularly attractive for businesses that need to expand their radio systems as they grow, offering a cost-effective solution for scaling operations.

Software Defined Radio Market Opportunities: Remote and Rural Communication Networks

In remote and rural areas, where traditional communication infrastructure may be lacking or expensive to implement, SDR presents an opportunity to improve connectivity. SDR technology can be deployed to create cost-effective, flexible communication networks that can operate across various frequencies and protocols, ensuring that even the most isolated regions have access to reliable communication services.

Software Defined Radio Market Opportunities: Collaborative Open-Source Development

The open-source nature of SDR development has opened the door to more collaborative, community-driven innovation. By adopting open-source platforms, developers from around the world can contribute to the advancement of SDR technology, creating a wide range of solutions for various industries. This collaborative approach fosters innovation and accelerates the adoption of SDR technology in new markets.

Conclusion

The software-defined radio market presents substantial opportunities across multiple industries, driven by its flexibility, scalability, and ability to adapt to evolving communication needs. From 5G networks and defense applications to automotive, IoT, and telecommunications, SDR is at the forefront of innovation. As organizations seek more cost-effective, secure, and adaptable communication systems, the SDR market is poised for continued growth and transformation.

[ai-drone]

Enhancing Defense Programs with C-UAS: Ensuring Counterdrone Protection

Australia is on the cusp of investing substantial funds into vital Defense initiatives, encompassing crucial projects like LAND400 for Infantry Fighting Vehicles, submarines, HIMARS long-range strike capability vehicles, the overhaul of Northern Bases, and much more. However, as the landscape of warfare evolves, so does the threat it presents, with drones emerging as formidable yet inexpensive tools for defense adversaries. In a world where a $2,000 drone can travel 10-20 kilometers, carry payloads of several kilograms, utilise sophisticated sense-and-avoid obstacle technology, and even swarm in groups of hundreds or thousands, counterdrone defence, or C-UAS, has become a necessity.

The recent conflicts in Ukraine, as well as earlier ones in Syria and Nagorno-Karabakh, have demonstrated the true potential of small drones on the battlefield. These unmanned aerial vehicles perform various tasks, including reconnaissance, directing artillery strikes, delivering charges, and even executing cyber-attacks. Additionally, the psychological impact of drones on soldiers cannot be underestimated, with instances of troops fleeing from drone presence well-documented in Ukrainian drone footage.

For the Australian Defense Force (ADF), it is imperative to anticipate scenarios where a relatively inexpensive drone armed with a shaped charge could eliminate a heavily armored vehicle worth over $10 million or cripple an F-35 aircraft, potentially causing the loss of a $100 million asset and its pilot. To safeguard these high-value assets, an effective C-UAS system becomes a strategic investment.

The cost of implementing a C-UAS system can vary, starting from tens of thousands of dollars and potentially reaching $1-2 million, depending on specifications and the area to be protected. Considering the value of the assets it safeguards, this cost is relatively negligible and can be likened to an insurance strategy. Such systems ensure that expensive, top-of-the-line defense platforms can execute their primary functions without the looming risk of drone surveillance or attacks.

Furthermore, C-UAS systems are indispensable in securing military bases, particularly in low-manned, remote, but strategically vital areas like the Northern Territory. This significance was emphasised in the Defense Strategic Review, underlining the importance of base protection against drones.

In the realm of defense, the key doctrine is to prepare for the next war rather than the last one. Drones, often described as analogous to the impact body armor had in WWI, do not replace conventional weaponry but introduce an essential element of lower airspace control. They offer real-time intelligence gathering and the capability to neutralise significantly more expensive platforms while remaining expendable.

The rapid advancement of drone technology is inevitable, and ongoing trends suggest further improvements. These include enhanced swarming capabilities, including fully autonomous drones, drones across multiple domains (ground, water surface, underwater), and the ability to be armed and fire weapons independently.

What Constitutes an Effective Counterdrone/C-UAS System?

One-size-fits-all solutions do not suffice in the world of counterdrone defense. Requirements for dismounted, vehicle, ship, and base protection vary considerably. Dismounted systems prioritise low size and weight, while base protection seeks the best possible range and capability suite.

To be effective, C-UAS systems must offer a high probability of detection and a low false alarm rate. Drones operate amidst a sea of electronic clutter, whether it's radiofrequency interference or radar noise. Multi-sensor systems, ideally with AI-based sensor fusion capabilities, excel at reducing the cognitive burden on operators.

Reliable defeat mechanisms are crucial. While technologies like cyber/protocol manipulation can take up to 30-60 seconds per drone, smart jamming offers instantaneous effects and universal effectiveness, especially when jamming C2 and GNSS bands.

Autonomous operation is another vital feature, considering that drone attacks can occur at any time of day or night, and at varying speeds.

Regular firmware updates are essential because drones evolve rapidly. Algorithms that do not rely on library-based pattern matching tend to work best due to the multitude of drone types in existence.

RF-based detection and smart jamming as a countermeasure are optimal at the base layer. Multi-sensor/multi-effector systems can be effective but often face constraints in terms of size and budget. RF-based detection and smart jamming have proven to be swift and effective methods for detecting and neutralising drones while minimising collateral damage.

Finally, it is paramount for Australia to harness locally developed capabilities, especially when the technology already exists domestically. This approach allows for customisation to meet Defense's specific requirements, carried out by local experts with appropriate security clearances, and supports the growth of the Australian supply chain.

In conclusion, C-UAS systems have become indispensable to safeguarding Australia's major defense programs, ensuring that expensive assets remain protected against the evolving threat landscape posed by drones. Embracing innovative technologies and investing in counterdrone protection is pivotal to maintaining the nation's defense capabilities in an ever-changing world.

[usafphantom2]

Rafael and Hensoldt will develop electronic warfare capabilities for German Eurofighter jets

Fernando Valduga By Fernando Valduga 10/22/2022 - 14:00 in Military

Rafael, from Israel, joined the German company HENSOLDT to offer a solution to the requirements of the German Air Force (Luftwaffe) for airborne electronic warfare capabilities with initial operational capacity (IOC) in 2028.

The exclusive partnership agreement was signed in Tel Aviv on October 18, by Thomas Müller, CEO HENSOLDT, and Maj. Gen (retired) Yoav Har-Even, President and CEO of RAFAEL.

RAFAEL and HENSOLDT agreed to embark on a joint effort to integrate and improve RAFAEL's Sky Shield electronic air war pod as a mature and ready-to-use Escort Jammer (ESJ), with HENSOLDT's latest national sensitive electronic air attack (KALAETRON Attack) technology. This new capability supports the Luftwaffe's decision to adapt the Eurofighter Typhoon to an electronic attack platform. The new EA pod uses the existing Litening Pod interfaces, already proven in combat in Typhoon, significantly simplifying integration efforts and saving invaluable resources.

Together, RAFAEL and HENSOLDT bring the necessary experience not only as solution providers for ESJ, but also in the Eurofighter program environment and related integration and certification processes.

HENSOLDT has developed the "Kalaetron Attack" air interference system that recently confirmed its effectiveness against several enemy air defense radars. It is part of HENSOLDT's fully digital 'Kalaetron' product family, which is used in self-protection and signal intelligence systems in the German armed forces. In addition to the elements of cognitive software, the core comprises a fully digitized broadband sensor and a jammer defined by electronically controllable software.

Metallic 3D printing allowed a condensed design of electronic components so that the jammer can be easily integrated into commonly used pod formats ?? around the world or directly on bodies of various flying platforms. The effectiveness and responsiveness of the system are also based on artificial intelligence (AI) algorithms, which allow the classification of unknown threats in the field and the rapid evaluation of large amounts of data.

RAFAEL's Sky Shield Escort Jammer is a ready-to-use military solution already delivered to several customers around the world, thus allowing easy integration into fast jet platforms. By using Active Electronically Scanned Array (AESA) technology, the only broadband interference pod covers the present and future high frequency band, providing a high effective radiation power (ERP). The Sky Shield is capable of generating simultaneous transmissions of interference and deception against various threats. Some of RAFAEL's airborne solutions are in service in Germany, including the LITENING and RECCELITE Electro-Optic pods in the Luftwaffe Eurofighter Typhoon.

Tags: Military AviationEurofighter TyphoonEW - ELECTRONIC WARHensoldtLuftwaffe - German Air ForceRafael

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Fernando Valduga

Fernando Valduga

Aviation photographer and pilot since 1992, he has participated in several events and air operations, such as Cruzex, AirVenture, Dayton Airshow and FIDAE. It has works published in specialized aviation magazines in Brazil and abroad. Uses Canon equipment during his photographic work in the world of aviation.

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[niranjand]

ARTIFICIAL INTELLIGENCE IN DEFENSE MARKET SIZE, TRENDS & ANALYSIS – FORECASTS TO 2025

Artificial Intelligence in Defense Market Insights

The global AI in defense market is anticipated to grow at an exponential rate over the coming years. Increasing advancements in defense technology coupled with growing funding from military research agencies are major factors likely to propel the rising adoption of AI systems in the defense sector.

The successful implementation of drones by defense agencies across the world has led to several advantages ranging from guarding borders to enforce laws for combat missions. Drones also have a variety of applications in search & rescue missions, illegal traffic monitoring, and other intelligence missions. Autonomous weapons systems and military robots are further responsible for development and deployment of AI in the defense sector.

Although factors such as the unpredictability of AI algorithms coupled with the absence of standards and protocols are likely to hinder the market growth over the forecast period. However, rising application of big data analytics for information processing and high adoption of cloud services by defense industry is likely to stimulate the market growth over the coming years.

Request a free sample copy of this report @: https://www.globalmarketestimates.com/artificial-intelligence-in-defense-market

Artificial Intelligence in Defense Market: Offering Insights

The global AI in defense market is segmented into hardware, software, and services, based on the offering. Hardware segment covers processor, memory, and network; Software includes AI solutions and AI platforms. Deployment & integration, upgrade & maintenance and software support among others are listed under services. The software segment is anticipated to hold the largest share of the AI in defense market in the coming years. The presence of major software companies coupled with growing demand for software-based AI solutions is likely to propel the market growth over the coming years. The hardware segment is also likely to register a significant growth rate due to increased use of the processor, camera, and memory in drones and other weapons.

Artificial Intelligence in Defense Market: Technology/ Platform Insights

By technology, the global AI in defense market is divided into learning & intelligence, advanced computing, AI systems. Learning & intelligence segment is projected to hold significant market share due to increased government spending for developing highly-advanced AI systems in several countries such as India, the U.S., China, and Russia among others. Natural Language Processing has held the largest market share among the learning & intelligence technologies. The demand has also significantly increased by increasing use of NLP to manage huge volumes of data for predictive analysis.

Based on platforms, the market is segmented into land, naval, airborne, and space. Airborne Systems, especially UAVs are gaining a lot of traction in defense applications.

Artificial Intelligence in Defense Market: Application Insights

On the basis of application, the market is divided into simulation & training, autonomous unmanned weapon systems, computational military reasoning, battlefield healthcare, ai-enabled data fusion, logistics & transportation, cyber defense & warfare, cognitive radio & cognitive electronic warfare. Autonomous unmanned weapon systems, Simulation & training, and cyber defense & warfare are likely to hold significant market share over the coming years.

Artificial Intelligence in Defense Market: Regional Insights

North America dominated the overall AI in defense market in 2016 and is likely to grow at a considerable rate over the coming years. The growth is primarily attributed to increased U.S. government spending on R&D activities to develop advanced AI concepts such as wearable electronics loaded up with combat apps.

The Asia Pacific is likely to be the highest growing region over the forecast period. China is considered to be the major contributor to the regional growth. China’s growth is likely to be influenced by the introduction of next-generation AI technologies, such as big data, swarm intelligence, hybrid enhanced intelligence, and autonomous intelligent systems among others. Artificial Intelligence in Defense Market: Vendor Landscape

The report contains a chapter dedicated to vendors operating in the market, covering raw material manufactures, equipment developers, manufacturers, and distributors. The report provides these insights on a regional level. This section of the report entails contact details, experience, products manufactured/supplied, and geographical presence of companies.

Artificial Intelligence in Defense Market Share & Competitor Analysis

Some of the players operating in the global artificial intelligence in defense market include Lockheed Martin, Raytheon Company, Northrop Grumman, Thales Group, IBM, BAE Systems, General Dynamics, Nvidia, Soartech, Sparkcognition, Charles River Analytics, SAIC, Harris Corporation, and Boeing.

Browse this report @: https://www.globalmarketestimates.com/artificial-intelligence-in-defense-market

[damiencordle]

Joshua Damien Cordle. I Found This Interesting

Unique material design for brain-like computations

Over the past few decades, computers have seen dramatic progress in processing power; however, even the most advanced computers are relatively rudimentary in comparison with the complexities and capabilities of the human brain.

Researchers at the U.S. Army Combat Capabilities Development Command's Army Research Laboratory say this may be changing as they endeavor to design computers inspired by the human brain's neural structure.

As part of a collaboration with Lehigh University, Army researchers have identified a design strategy for the development of neuromorphic materials.

"Neuromorphic materials is a name given to the material categories or combination of materials that provide both computing and memory capabilities in devices," said Dr. Sina Najmaei, a research scientist and electrical engineer with the laboratory.

Najmaei and his colleagues published a paper, Dynamically reconfigurable electronic and phononic properties in intercalated Hafnium Disulfide (HfS2), in the May 2020 issue of Materials Today.

The neuromorphic computing concept is an in-memory solution that promises orders of magnitude reductions in power consumption over conventional transistors, and is suitable for complex data classification and processing. The limited power efficiency in conventional transistors is a fundamental technology shortcoming impeding future progress in computing.

Neuromorphic materials research conducted over the past 10 years has focused on understanding the unique properties of 2-D materials and their van der Waals multilayered structures.

"The findings show great promise for these materials in electronic applications, but also show the unique interfaces in these materials provide an unprecedented opportunity for design of material properties," Najmaei said.

Over the past four years, the team conducted an effort focused on the design of material properties for high-performance electronic applications.

"Our research led to our Materials Today paper, which expands this effort to design of reconfigurable properties in these materials based on van der Waal/organometallic hybrid systems and neuromorphic material design," Najmaei said.

Neuromorphic computing processes information using new models of computing similar to the brain's cognitive processes.

"In order to process and make rational inferences from the input, information and a new paradigm of computing is needed," Najmaei said. "Neuromorphic hardware with in-memory computer capabilities promises to bridge this ever-growing technology gap."

This research is an important stepping stone towards development of in-memory computing in hybrid devices with unique functional properties for integration in cognitive sensory devices and overcomes significant technical challenges that impede a bottom up approach for streamlining of brain-inspired computing hardware, he said.

If the researchers can ultimately develop a computer that can behave like the brain, it would be extremely useful to the warfighter, Najmaei said.

Neuromorphic computing, like a neural system, would offer computing capability complete with perks, such as robustness to damage, ability to learn, adaptability to change and others. It would have the potential to reduce operational power by a magnitude of 1,000 to 1 million times in comparison to today's computing paradigms.

This level of processing would be highly desirable for image recognition in autonomous systems, and for artificial intelligence in general. Given the significance of AI and autonomous systems in modern day warfare, neuromorphic computing may very well be a cornerstone for a wide range of future leap-ahead warfighting capabilities, Najmaei said.

Story Source:

Materials provided by U.S. Army Research Laboratory. Note: Content may be edited for style and length.

Journal Reference:

Sina Najmaei, Chinedu E. Ekuma, Adam A. Wilson, Asher C. Leff, Madan Dubey. Dynamically reconfigurable electronic and phononic properties in intercalated HfS2. Materials Today, 2020; DOI: 10.1016/j.mattod.2020.04.030