Theory And Application Artech House Radar Library - Radar Signals An Introduction To

In the vast and demanding field of radar engineering, where theory must constantly bow to the practical constraints of hardware, noise, and the elusive nature of targets, few texts achieve the delicate balance between mathematical rigor and applied insight. Radar Signals: An Introduction to Theory and Application , part of the esteemed Artech House Radar Library, stands as a landmark contribution that has educated generations of engineers. Rather than treating radar signals as mere byproducts of hardware, the book elevates them to their rightful place: the very essence of radar system design. Through a systematic exploration of waveform design, ambiguity functions, and matched filtering, the text provides not just a toolkit but a fundamental philosophy for understanding how radar “sees” the world.

However, the book is not without its limitations. Its depth—while a strength for specialists—may be daunting for an undergraduate or a non-signal-processing engineer. The mathematical prerequisites are significant: Fourier transforms, complex envelope representation, and basic probability are assumed. Furthermore, the book focuses almost exclusively on monostatic pulsed radars, with only cursory mention of continuous wave, FMCW, or passive radar systems. Modern topics such as MIMO radar waveforms, cognitive radar, and machine learning for signal classification are absent, reflecting the publication date of earlier editions, though the core principles remain timeless. In the vast and demanding field of radar

The central thesis of the book is that the transmitted signal is the radar’s primary degree of freedom. While antenna design and receiver sensitivity are critical, the waveform determines fundamental performance limits in range resolution, Doppler sensitivity, and interference rejection. The text opens by grounding the reader in the necessary mathematical foundations—linear systems, modulation theory, and statistical signal processing—before launching into the core of the matter: the ambiguity function. This two-dimensional representation of a waveform’s response to range and Doppler shifts is presented not as an abstract curiosity but as a design blueprint. The book meticulously demonstrates how a simple rectangular pulse offers excellent range resolution only at the expense of poor Doppler discrimination, while a continuous wave (CW) tone provides the opposite. The genius of the text lies in showing how more complex signals, such as linear frequency modulated (LFM) chirps and phase-coded sequences (Barker, Frank, and Golomb codes), can shape the ambiguity function to approximate the ideal “thumbtack” response—high resolution in both dimensions without ambiguous sidelobes. and Golomb codes)

A notable strength of Radar Signals is its treatment of Doppler-tolerant waveforms. Unlike many introductory texts that treat moving targets as an afterthought, this book integrates Doppler effects into every waveform analysis. It distinguishes between the slow-time Doppler processing of pulse-Doppler radars and the fast-time effects that degrade matched filter performance. The comparison of LFM (moderately Doppler tolerant) with phase-coded waveforms (often severely Doppler sensitive) is handled with practical examples, including ambiguity function cuts that reveal how target velocity can cause range sidelobe inflation or even target eclipsing. This analysis directly supports the design of radar modes for different missions—from slow-moving weather targets to supersonic aircraft. complex envelope representation