Cognitive Electronic Warfare, Second Edition: An Artificial Intelligence Approach

By Karen Zita Haigh and Julia Andrusenko

Cognitive Electronic Warfare: An Artificial Intelligence Approach, Second Edition explores how cutting-edge technologies like artificial intelligence (AI) and machine learning (ML) are transforming national defense. Updated to reflect rapid advancements in technology and operational needs, this expanded second edition demonstrates how to architect intelligent electronic warfare (EW) platforms that are effective and adaptive.

Dive into the challenges and trade-offs of various AI techniques and gain a basis for gauging the best approach for specific EW applications. Learn how to break large AI problems into smaller, deployable pieces, and evaluate cognitive systems to ensure they meet project requirements. Explore how ML can be used for electronic support, including signal characterization, classification, pattern recognition, and intent recognition functions. Examine AI for decision making in electronic protect (EP), electronic attack (EA), and electronic battle management (EBM), covering planning, optimization, and scheduling techniques and associated temporal and spatial trade-offs. Technical approaches for managing real-time, in-mission, and on-board ML are also showcased.

Further consideration is given to emerging technologies like Generative AI, TinyML for embedded platforms, and DevMLOps, equipping practitioners to meet the demands of modern, agile system development. Gain practical insights into classification, intent recognition, planning algorithms, resource-constrained optimization, and knowledge management. Real-world case studies, evaluation approaches, and architectural best practices are provided to help unite theory and deployment.

This is a must-have resource for AI professionals, EW and radio frequency (RF) engineers, defense professionals, operational electronic warfare officers, and researchers shaping the future of AI-powered defense.

• Format: Hardcover
• Language: English
• ISBN: 168569103X
• ISBN13: 9781685691035
• Release Date: August 2025
• Publisher: Artech House Publishers
• Length: 428 Pages
• Weight: 1.82 lbs.
• Dimensions: 1.1" x 9.2" x 6.2"