The “Why” with James Genova

James Genova, author of  Electronic Warfare Signal Processing, told us why he wrote his latest bestseller:

My early career was in systems testing and anti-submarine warfare coherent digital signal processing (DSP). My first task in EW was to explore the potential of feedback control. By the 1990’s anti-ship missiles (ASM) were guided by one or more autonomous sensors to detect and locate the target. EW had evolved from exploiting flaws in the ASM sensors to combinations of active false targets, cover noise jamming, and passive decoys to seduce the ASM target location or to mask the ship return thus defeating the ASM detection.

Beginning with a collaboration between Russia and India the ASM guided by coherent radar was implemented. Since then several versions have been fielded especially by Russia, India, PRC, etc. As a scientist at NRL I was tasked with the development of the first several ASM coherent radar hardware simulators for US Navy EW research. Through this work I discerned that these new systems are not only very difficult to sense, but they can readily detect and accurately locate any and all potential targets in their field of view. Radar data is digitized and must be quickly examined for features useful to identify the true or preferred target. The EW battle is now target classification.

It is noteworthy that the Russian and PRC ASM/EW developers have flooded English journals with many variations of exactly these DSP algorithms. My Artech book is an introduction to and compilation of these EW DSP algorithms. They range from exploiting features related to the nature of the targets to ASM radar waveforms specifically designed to enhance these target features. These algorithms include optimal two channel signal processing that improves ASM detection and location while also mitigating cover noise jamming.

My goal in writing this book is to stimulate the NATO EW community to realize EW is now a digital information battle of target classification and requires the mastery of efficient, smart DSP algorithms.

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