Cognitive Electronic Warfare: An Artificial Intelligence Approach, Second Edition

In this revised Second edition of Cognitive Electronic Warfare: An Artificial Intelligence Approach, you will learn how cutting-edge AI and machine learning technologies are transforming the landscape of national defense. This comprehensive guide demystifies how cognitive systems are being used to revolutionize Electronic Warfare (EW), from real-time signal analysis to autonomous decision-making. Whether you're a defense analyst, engineer, or tech innovator, this book offers a foundational understanding of how AI can be applied to the full spectrum of EW operations—from support and protection to electronic attack and battle management.

Modern battlefields demand systems that are fast, flexible, and capable of adapting without direct human intervention. This book goes beyond the basics to show you how to architect intelligent EW platforms that can learn and evolve during missions, even when deployed in resource-constrained environments. You'll explore how machine learning can be used for signal characterization, classification, pattern recognition, and intent detection—key functions that enhance situational awareness and response. The text also dives into the specifics of planning and optimization techniques for real-time electronic protect (EP) and electronic attack (EA), ensuring you understand the spatial and temporal tradeoffs inherent in these systems. With hands-on case studies, development strategies, and insight into data and knowledge management, this book serves as a technical and strategic blueprint for building next-generation defense systems that are as adaptive as they are effective. The authors have developed a supplemental set of MATLAB code files to reproduce the steps demonstrated throughout the book. 

Cognitive Electronic Warfare: An Artificial Intelligence Approach, Second Edition stands alone in its comprehensive treatment of EW capabilities across all domains and timescales. Thoroughly updated to reflect rapid advancements in technology and operational needs, it introduces cutting-edge topics such as on-board learning, generative AI, tiny ML, and DevMLOps—equipping readers to meet the demands of modern, agile system development. Most importantly, the book addresses one of the most critical aspects of AI in defense: evaluation and assurance. You'll learn robust techniques for validating cognitive systems in complex, unpredictable environments, with a focus on building trust, reliability, and mission readiness. Whether you're designing systems for the lab or the tactical edge, this book gives you the tools to deploy AI that works—and proves it.