Cognitive Electronic Warfare: An Artificial Intelligence Approach

This book provides an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). It covers techniques for optimizing cognitive EW systems, evaluating their ability to learn new information in real time, and presenting AI for electronic support (ES). It also discusses real-time in-mission machine learning and optimization, electronic battle management, data management, and knowledge sharing. Written by experts with first-hand experience in AI-based EW, it is the first book on in-mission real-time learning and optimization.

Format: Hardback
Length: 288 pages
Publication date: 31 July 2021
Publisher: Artech House Publishers

This extensive book provides a comprehensive overview of the integration of cognitive systems and artificial intelligence (AI) in electronic warfare (EW). It delves into the effective utilization of EW systems in response to the dynamic battlefield conditions characterized by advanced radars and spectrum congestion. The book highlights the importance of EW systems that possess the capability to rapidly characterize and classify novel waveforms, discern intent, and develop and test countermeasures. Specific techniques for optimizing cognitive EW systems and evaluating their real-time learning abilities are explored.

The book also presents AI for electronic support (ES), encompassing tasks such as characterization, classification, patterns of life, and intent recognition. It discusses optimization techniques, including temporal tradeoffs and challenges associated with distributed optimization. Additionally, the book addresses the critical issue of real-time in-mission machine learning and proposes approaches to address this challenging aspect.

The book covers various aspects of electronic battle management, data management, and knowledge sharing. It discusses evaluation approaches, demonstrating how machine learning systems can learn to adapt to novel environments. Written by experts with firsthand experience in AI-based EW, this book serves as a pioneering resource on in-mission real-time learning and optimization.

Weight: 550g
Dimension: 225 x 263 x 22 (mm)
ISBN-13: 9781630818111
Edition number: Unabridged ed