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Principles of Modern Radar: Radar Applications

Melvin, William L. 2014

This third volume in the Principles of Modern Radar set is a professional reference of the most important applications in current practice and includes a foundation of research before tackling in-depth, single-topic advanced books and literature. The book has concise descriptions of the purposes, principal issues, and methods found in a wide variety of current radar types with military, commercial and civilian uses. This book has been community reviewed by experts from around the world.

It provides concise descriptions of the purposes, principal issues and radar methods found in a wide variety of current radar types, including: low-power continuous wave (CW) radar, weather radar and military applications. Each chapter is authored by experts in the field who are active in research and teaching radar practitioners in professional courses.

This edition will serve as a self-contained reference for those aiming to become experts in an advanced technology or application area. Primarily aimed at radar practitioners within military or government and will also be useful for some advanced graduate students.

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Why Read This Book

You should read this volume if you want a concise, expert-reviewed bridge between radar theory and real-world practice — you will learn how modern radar systems tackle detection, estimation, and signal-processing challenges across military, commercial, and civil applications. The book’s chapter-authors are active practitioners and researchers, so you get compact, application-focused treatments that point you to advanced literature when you need deeper detail.

Who Will Benefit

Radar and signal-processing engineers, systems designers, and graduate students with prior exposure to signals and EM theory who need a practical, application-oriented reference for contemporary radar methods and tradeoffs.

Level: Advanced — Prerequisites: Undergraduate signals & systems and electromagnetics, basic probability & statistics, familiarity with digital signal processing (Fourier methods, filtering) and linear algebra; MATLAB or equivalent experience recommended.

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Key Takeaways

  • Apply modern radar waveforms and pulse-compression techniques to improve range resolution and detection performance.
  • Implement FFT- and spectral-analysis-based Doppler processing and pulse-Doppler architectures for moving-target indication.
  • Design and tune digital filters and adaptive processing algorithms (including clutter/ECM mitigation and CFAR detectors) for robust target extraction.
  • Use statistical detection and estimation theory to set thresholds, quantify false-alarm/ROCs, and perform parameter estimation (range, Doppler, angle).
  • Evaluate advanced modalities such as CW/low-power radar, SAR, MIMO, and passive radar and translate application requirements into processing choices.
  • Leverage time–frequency and wavelet techniques for denoising, feature extraction, and nonstationary-signal analysis in radar contexts.

Topics Covered

  1. 1. Introduction: scope, applications, and overview of modern radar
  2. 2. Low-Power and Continuous-Wave (CW) Radar Techniques
  3. 3. Pulse Compression and Waveform Design
  4. 4. Doppler Processing, FFTs, and Spectral Analysis
  5. 5. Digital Filter Design and Implementation for Radar
  6. 6. Adaptive Filtering, Clutter Suppression, and CFAR Detection
  7. 7. Statistical Detection and Parameter Estimation
  8. 8. Imaging Radars: SAR/ISAR Processing
  9. 9. MIMO, Multistatic and Passive Radar Architectures
  10. 10. Weather Radar and Remote-Sensing Applications
  11. 11. Electronic Warfare, ECM/ELINT Considerations
  12. 12. Practical Implementation: DSP, FPGAs, SDRs and Real-time Processing
  13. 13. Emerging Topics: Wavelets, Time–Frequency Methods, and Machine-Assisted Processing
  14. 14. References and Directions for Advanced Study

Languages, Platforms & Tools

MATLABPythonC/C++VHDL/VerilogSoftware-defined radio (SDR) platformsDSP processors and FPGAsGPU-accelerated systemsPhased-array and MIMO radar hardwareMATLAB/Simulink (including Phased Array System Toolbox)GNU RadioFFTW/CUDA for FFTsXilinx/Intel FPGA toolchains (Vivado, Quartus)LabVIEW

How It Compares

Complementary to Richards' Fundamentals of Radar Signal Processing (which emphasizes core algorithms) and Skolnik's Radar Handbook (a comprehensive encyclopedia): this volume is more application-focused and concise, with community-reviewed chapter perspectives.

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