A Method for Improving SAR-GMTI Performance Based on Spatial Features of Micro Doppler

Abstract

Analysis on micro-doppler features using time-frequency analysis and super-resolution imaging has been a vital direction in radar target identification. However, because of heavy ground clutter, it’s difficult to use time-frequency analysis in SAR-GMTI[1], especially for low-velocity target. Besides, the traditional range model approximated by second-order polynomials is not suitable for micro-motion. For the above bottleneck, a regularity of interferometric phase of the micromotion target in multiple spatial channel in image domain is derived based on building the geometrical model in this paper. Besides, the correlation coefficient of the spatial steering vectors between each ghost point and clutter is introduced. The result of simulation also proves the founded principle has great improvement factor on detecting micro-motion targets in strong clutters.