一种基于参数更新的机载SAR图像目标定位方法

目标定位精度是机载合成孔径雷达(SAR)系统的一项重要技术指标，因此机载SAR图像目标定位具有重要的应用价值。在基于距离-多普勒模型的SAR图像目标定位方法中，载机运动参数的精度会直接影响定位的精度，在机载平台导航精度受限的情况下，定位精度会受到很大影响。因此，该文提出一种基于距离-多普勒模型参数更新的机载SAR图像目标定位方法，利用机载SAR图像与基准图像匹配得到的匹配点来对载机运动参数进行更新，提高参数的精度，进而提高定位的精度。实验证明了该方法的有效性。

An Airborne SAR Image Target Location Algorithm Based on Parameter Refining

The target location accuracy is an important technical parameter of airborne SAR system, thus the target location of airborne SAR image is important for application. The precision of the moving parameters directly influences the precision of the SAR image target location algorithm based on the Range-Doppler (RD) model. The locating accuracy is greatly affected if the navigation accuracy of the airborne platform is limited. To solve this problem, an airborne SAR image target location algorithm based on RD model parameter refining is proposed. Using the matching points of airborne SAR image matching with the reference image, the moving parameters are refined with better accuracy, and the locating accuracy is improved. The experiments show that the proposed algorithm is effective.