Time-frequency Transforms for Radar Imaging and Signal Analysis

Victor C. Chen, electronic engineer in the Radar Division of the Naval Research Laboratory in Washington, DC, is a senior member of the IEEC. Hao Ling, professor in the Department of Electrical and Computer Engineering, University of Texas at Austin an he is an IEEE Fellow.

• Introduction: radar electronic backscattering; radar signals; radar ambiguity function and matched filter; synthetic aperture radar imaging. Time-frequency transforms: linear transforms; bilinear transforms. Detection and extraction of signal noise: time-varying frequency filtering; SNR improvement in time-frequency domain; CFAR detection in joint time-frequency domain; signal extraction in joint time-frequency domain. Time-frequency analysis of radar range profiles: electromagnetic phenomenology embedded in backscattered data; time-frequency representation of range profiles; application of high-resolution time-frequency techniques to scattering data; extraction of dispersive scattering features from radar imagery using time-frequency processing. Time-frequency based image formation: radar imaging of moving targets; motion compensation; time-frequency based image formation; radar imaging of manoeuvring targets; radar imaging of multiple targets. Motion compensation in inverse synthetic aperture radar imaging using time-frequency techniques: motion compensation algorithms; time-frequency based motion compensation; motion compensation examples of simulated and measured data; presence of three-dimensional target motion. Synthetic aperture radar imaging of moving target: radar signatures of moving targets; effect of target motion on SAR imaging; detection and imaging of moving targets; SAR imaging of moving targets using time-frequency transforms. Time-frequency transform for analysis of micro-doppler phenomena: vibration induced micro-doppler; rotation induced micro-doppler; examples. Trends in time-frequency transforms for radar applications.