No review of this text would be complete without acknowledging its role as a bridge between academic signal processing and real-world radar engineering. The Artech House Radar Library is known for practical, application-focused volumes, and this book honors that tradition. Each chapter concludes with problems that require not just algebraic manipulation but design decisions: selecting a waveform for an automotive radar given speed and range constraints, or analyzing the impact of transmitter phase noise on coherent integration. The references point to classic papers (Woodward, Skolnik, Rihaczek) as well as contemporary research, making the book a launchpad for further study.
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. No review of this text would be complete
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. The references point to classic papers (Woodward, Skolnik,
In conclusion, Radar Signals: An Introduction to Theory and Application succeeds magnificently in its stated goal. It teaches the reader to think in terms of the ambiguity function, to evaluate waveforms by their sidelobe structure and resolution cells, and to appreciate the fundamental information-theoretic limits of radar measurements. For the practicing radar engineer, graduate student, or researcher, this book is not merely a reference—it is a lens through which the entire radar system becomes coherent. The signals are not just the message; they are the medium, the method, and the measure of radar’s profound ability to see what cannot be seen. Note: This essay assumes the canonical content of the Artech House Radar Library volume commonly known by this title (authored by Nadav Levanon and/or Eli Mozeson in many editions). If you have a specific edition or author in mind, the focus can be adjusted further. Rather than treating radar signals as mere byproducts