Cognitive Electronic Warfare: An Artificial Intelligence Approach

This book is an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated RF transmitters and spectrum congestion put a high priority on EW systems that can characterize and classify novel waveforms, discern intent, and devise and test countermeasures. Specific techniques are covered for optimizing a cognitive EW system as well as evaluating its ability to learn new information in real time. The book presents AI for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. The book discusses decision-making techniques for electronic protection (EP), electronic attack (EA), and electronic battle management (EBM), including planning, optimization, and scheduling. The book describes approaches to the important issue of real-time in-mission machine learning and covers data management and system architecture. Evaluation approaches, including how to show that a machine learning system can learn to handle novel environments, are also discussed. Written by experts with first-hand experience in Al-based EW, this is the first book on in-mission real-time learning and optimization.