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Simultaneous HRR feature extraction and Doppler shift estimation of moving target with rigid bodies

High Range Resolution (HRR) Moving Target Indicator (MTI) is becoming increasingly important for many military and civilian applications involving the detection and classification of moving targets in the clutter background. For ground-based HRR radar, when targets are moving slowly or near-broadside and the coherent processing interval (CPI) (or dwell time) is not too long, the effects of range migration and range feature distortion can be ignored. Based on the above assumptions, relaxation-based algorithms, which are robust and computationally simple, are proposed in this paper for the HRR feature extraction of moving targets consisting of scatterers very closely spaced in range and common Doppler shift in the presence of stationary clutter. Numerical examples show that the proposed algorithms exhibit super resolution and excellent estimation performance.