An Introduction to Electronic Warfare: From the First Jamming to Machine Learning Techniques

An Introduction to Electronic Warfare: From the First Jamming to Machine Learning Techniques

Architect your signal logic and master the high-performance protocols of modern electromagnetic engineering. An Introduction to Electronic Warfare provides a definitive, engineering-first roadmap to the most significant shift in spectral dominance since the digital revolution. Learn how to move beyond traditional radio-frequency basics to high-velocity, AI-driven discovery—bridging the gap between a standalone jammer and a sophisticated, machine-learning-integrated EW ecosystem—ensuring your technical projects are resilient, scalable, and ready for the 2026 global defense technology landscape.

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What You Will Learn:

Foundations of EW Architecture: Master the core principles of Electronic Support (ES), Electronic Attack (EA), and Electronic Protection (EP) across the electromagnetic spectrum.

Modern Signal Workflows: Step-by-step guidance on utilizing Digital Radio Frequency Memory (DRFM) and advanced receiver architectures to maintain peak operational integrity.

Scalable AI Patterns: Discover how to utilize Machine Learning techniques for automated emitter identification and adaptive jamming to maintain the structural integrity and technical agility of your defense systems.

Strategic Security & Spectral Integrity: Learn advanced techniques for maintaining information security within radar and communication links, protecting against sophisticated interference while ensuring the technical agility of your spectral awareness.

Who This Book is For: This professional-grade guide is essential for Defense Systems Engineers, RF Researchers, and Military Technology Students. It is an invaluable resource for any technical lead—including those building highly advanced, signal-secure graduation projects like Smart Guard—aiming to master the structural integrity and technical agility required for modern, evidence-based electronic defense and software delivery.

Product Details:

Format: Digital PDF Download

Authors: Chi-Hao Cheng; James Tsui

Publisher: Artech House / Routledge (Released late 2024/2025)

ISBN-13: 9781000795585

ISBN-10: 1000795586