Fundamentals of Radar Signal Processing — Richards

Mark A. Richards, 2nd Edition (McGraw-Hill)

Radar as applied detection and estimation theory: signal models (targets, clutter, the Doppler shift), pulsed data acquisition, the matched filter and LFM pulse compression, the ambiguity function, MTI and pulse-Doppler processing as a DFT filterbank, Neyman–Pearson detection with constant-false-alarm-rate (CFAR) thresholding, and measurement/tracking with Kalman and \(\alpha\)–\(\beta\) filters. Read in Course 1 Sections 12–14 as the radar application of the detection-and-estimation theory, and the theory behind Course 2’s matched-filter/pulse-compression (6.7) and CFAR-detection (6.9) labs.

Chapters

Exercises added as I work through each chapter.