A Method for Ground Moving Target Indication and Velocity Estimation Based on InSAR System
For InSAR system, the increasing clutter degree of freedom (DOF) with the terrain is caused by long cross-track baseline. It degrades the performance of Ground Moving Target Indication (GMTI) greatly. In this paper a new method based on InSAR system is proposed for GMTI and Velocity Estimation. In our approach, the joint pixel technique is adopted to improve the coherence of clutter. In this way the clutter can be well cancelled. For the velocity estimation, neighboring pixel pairs is used to compensate the terrain interferometric phase. Therefore, the accuracy of velocity estimation can be improved. Stimulation experiments illustrate the effectiveness of the proposed algorithm.
interferometric synthetic aperture radar (InSAR) ground moving target indication (GMTI) image coregistration clutter suppression joint pixel
Jun.Wen Guisheng.Liao Shengqi.Zhu
National Lab of Radar Signal Processing, Xidian University, Xi ‘an, 710071, China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
2299-2302
2010-08-24(万方平台首次上网日期,不代表论文的发表时间)