Ground Moving Target Indication and Velocity Estimation Using an InSAR System

Abstract

For InSAR systems with both along track baseline and cross track baseline, referred to as the hybrid baseline for simplicity, can be used to perform GMTI and DEM generation simultaneously. However, the cross-track baseline of such system is sensitive to the terrain fluctuation which badly affects the performance of clutter suppression. To solve the problem above, a GMTI method which takes advantage of the coherence information of neighboring pixel pairs of SAR images is presented in this paper. After neighboring pixel pairs are jointly used to compensate the terrain interferometric phase, an adaptive filtering method is used to suppress the stationary clutter with the benefit of calibrating the sensor responses. In addition, the accuracy of velocity estimation is improved due to the improvement of clutter suppression. Stimulation experiments illustrate the effectiveness of the proposed algorithm.