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Cognitive Electronic Warfare: An Artificial Intelligence Approach (2nd Edition)
Published by Artech House, this book offers a comprehensive guide to applying AI techniques in EW systems—situation assessment, decision making, and in-mission reinforcement learning.
By Karen Zita Haigh and Julia Andrusenko (2025)
Major changes in the second edition include:
Updated research (40% of the 1300 citations are 2021-2025)
More examples and a list of projects to get started
Rewrite of testing chapter
Contents:
Introduction
Objective function that drives decision making.
Short primer3 on ML, including a discussion of algorithmic trade-offs.
How to assess an ES situation
How to choose a strategy for EP and EA in time constrained and distributed settings
EBM and the human interface, dealing with planning, including resource management, uncertainty, and adversaries.
Online replanning and learning, including EW BDA, which maps expected outcomes to observed outcomes.
Data management processes and practice.
Software and hardware architecture considerations.
Evaluation: How and what to test.
Lessons learned and recommendations on how to get started building a CogEW system.
CogEW 2nd Ed (USA)
CogEW 2nd Ed
(UK)
Cognitive Electronic Warfare: An Artificial Intelligence Approach (1st Edition)
Published by Artech House, this book offers a comprehensive guide to applying AI techniques in EW systems—situation assessment, decision making, and in-mission reinforcement learning.
Karen Zita Haigh and Julia Andrusenko (2021)
This comprehensive book gives 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 radars 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 and 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 presents decision-making techniques for electronic protect (EP), electronic attack (EA), and electronic battle management (EBM), including optimization techniques, temporal tradeoffs, and distributed coordination. The book covers real-time in-mission learning, motivates why this capability is crucial, and describes how to evaluate a system that learns during a mission. The book also covers data management and system architecture concepts.
Written by experts with first-hand experience in AI-based EW, this is the first book on in-mission real-time learning and optimization for EW.
Publisher website: Artech USA and Artech UK
Japanese version: コグニティブ電子戦 ：人工知能アプローチ。株式会社五月書房新社 。2023 年4月。(Amazon)
Contents:
Intro to Cognitive EW
Objective Function
Machine Learning Primer
Electronic Support
Electronic Protect and Electronic Attack
Electronic Battle Management
Real-time In-mission Planning and Learning
Data Management
Architecture
Test and Evaluation
Getting Started: First Steps
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