Cognitive Electronic Warfare and Autonomous Spectrum Management (Volume-III): Engineering Resilient SDR Systems with Deep Reinforcement Learning and t

By Sanzaya Patel

Cognitive Electronic Warfare and Autonomous Spectrum Management - Volume III
Edge AI, Distributed Electromagnetic Intelligence, and Autonomous Spectrum Warfare

The electromagnetic battlespace is becoming autonomous.

As edge AI, distributed cognition, RFSoCs, and intelligent wireless systems converge, the next generation of spectrum warfare is shifting from centralized control toward machine-speed autonomous coordination across contested electromagnetic environments.

Volume III of The Cognitive Spectrum Series explores the execution layer of intelligent spectrum systems-where AI inference, SDR architectures, distributed decision systems, and real-time RF orchestration merge into adaptive electromagnetic ecosystems.

Blending:

Edge AI inferencing, RFSoC acceleration, FPGA execution pipelines, distributed cognitive networking, adversarial machine learning, autonomous EW architectures, and real-time SDR orchestration,

this volume presents a systems-engineering framework for understanding how future wireless systems will operate under extreme latency, bandwidth, synchronization, and adversarial constraints.

Topics include:

TensorRT and ONNX RuntimeRFSoC and FPGA accelerationZero-copy SDR architecturesShared-memory inference pipelinesDistributed spectrum intelligenceAI-native wireless orchestrationGNSS spoofing and navigation warfareCognitive mesh networkingAdversarial machine learning in RFAutonomous EW coordinationReal-time scheduling systemsEdge AI for SDR platformsFuture 6G and THz systems

Designed for:

RF engineers, SDR developers, FPGA architects, AI researchers, defense technologists, edge-computing engineers, and advanced wireless systems designers,

this volume bridges the gap between theoretical AI systems and operational autonomous electromagnetic architectures.

The future of spectrum warfare will not be manually controlled.

It will be coordinated by intelligent machines operating at machine speed.

• Format: Paperback
• Language: English
• ISBN: B0H29VBTYM
• ISBN13: 9798197555113
• Release Date: May 2026
• Publisher: Independently Published
• Length: 488 Pages
• Weight: 2.47 lbs.
• Dimensions: 1.0" x 8.5" x 11.0"