Ground Moving Target Detection and Velocity Estimation Based on Spatial Multilook Processing for Multichannel Airborne SAR

A robust method is addressed here for ground moving target detection and velocity estimation. This method is proposed by forming multilook Doppler beam sharpening (DBS) images with different illuminated angles which are divided by slow time segment in the azimuth direction. Compared with only a single looking angle, the detection probability with multiple looking angles can be improved under the same condition. For the clutter rejection procedure, we describe an approach which utilizes the fast time information and therefore has the robustness to image coregisrtration error. After clutter rejection and target detection, a new series of single-look and multilook velocity estimation approaches are developed in the presence of channel mismatch and image coregistration error. The robustness and practicability of the proposed algorithm are verified by processing the measured data of the experiment with three-aperture airborne radar.