摘要
针对传统的SAR-GMTI处理方法都需要获知目标的运动参数才能实现对目标聚焦的问题,提出了Keystone-filter-LVD的SAR-GMTI处理方法,该方法首先进行Keystone变换校正目标基带对应的距离单元走动,后利用剩余整数倍PRF模糊对应的补偿因子构造多个滤波器组进行滤波。该方法能有效的提高检测概率并实现目标高精度成像。
The problem for traditional SAR-GMTI processing methods need to know the target's motion parameter which can be achieved on the target focus. This paper puts forward SAR-GMTI processing method of Keystone-filter-LVD. Firstly the method Keystone transform and correct target baseband corresponding distance unit walking,then with the remaining integer multiple PRF vague construct multiple factors corresponding compensation filter bank filtering. The method can effectively improve the detection probability and achieve the goals of high precision imaging.
引文
[1]CERUTITI-MAORI D C,SIKANETA I,GIERULL C H.Optimum SAR/GMTI processing and its application to the radar satellite RADARSAT-2 for traffic monitoring[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(10):3868-3881.
[2]钱江,苏军海,李凉海,等.利用KWT进行动目标成像的三通道SAR-GMTI快速目标运动参数估计[J].电子与信息学报,2010,32(7):1660-1667.
[3]刘安娜,陈力,赵斐,等.基于DPCA-Fr FT的三通道SAR-GMTI方法[J].电子学报,2011,39(9):2091-2097.
[4]钱江,孙光才,李凉海,等.一种多通道SAR地面快速目标高概率检测方法[J].电波科学学报,2011,26(2):354-361.
[5]DRAGOEVIC M V,BURWASH W,CHIU S.Detection and Estimation With RADARSAT-2 Moving-Object Detection Experiment Modes[J].IEEE Transaction on Geoscience and Remote Sensing,2012,50(9):3527-3543.
[6]刘颖.存在严重通道误差情况下的SAR-GMTI方法分析[J].现代雷达,2011,33(6):37-40.
[7]梁毅,王虹现,邢孟道,等.调频连续波SAR慢速动目标参数估计与成像[J].系统工程与电子技术,2011,33(5):1001-1006.