Gareth Thomas Electronic Warfare Systems

Electronic Warfare Systems - Volume I: Foundations & Core Technologies When armies fight for ground, skies, or seas, victory still depends on who controls what can't be seen - the electromagnetic spectrum. Inside that invisible battlefield, every signal matters. The radar that sees you. The jammer that blinds it. The link that keeps your systems alive - or cuts them off cold. Electronic Warfare Systems - Volume I rips open the black box of EW and shows you what's really happening beneath the antennas, waveforms, and code. You'll discover how energy, frequency, and logic turn into power, protection, and precision. This isn't theory for professors. It's field-ready understanding for engineers, analysts, and decision-makers who need to command the spectrum. You'll learn how modern EW systems are designed, how they fail, and how to make them dominate. Step by step, it builds from electromagnetic fundamentals and radar principles to real architectures, signal processing, and countermeasure design - everything that turns equations into edge. If you work anywhere near defense technology, aerospace, or national security, this volume is your briefing on how invisible energy wins real wars. Read it, and you'll never look at a signal the same way again. From the Editor at Burst Books - Gareth Thomas A Smarter Kind of Learning Has Arrived - Thinking on Its Own. Forget tired textbooks from years past. These AI-crafted STEM editions advance at the speed of discovery. Each page is built by intelligence trained on thousands of trusted sources, delivering crystal-clear explanations, flawless equations, and functional examples - all refreshed through the latest breakthroughs. Best of all, these editions cost a fraction of traditional texts yet surpass expectations. You're gaining more than a book - you're enhancing the mind's performance. Explore BurstBooksPublishing on GitHub to find technical samples, infographics, and additional study material - a complete hub that supports deeper, hands-on learning. In this age of AI, leave the past behind and learn directly from tomorrow.