对图像配准误差稳健的分布式星载SAR地面运动目标检测及高精度的测速定位方法  

A Robust Method to Images Registration of Ground Moving Target Detection and Relocation for Distributed Small Satellites Synthetic Aperture Radar

作　　者：刘颖[1] 廖桂生[1] 周争光[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《电子学报》2007年第6期1009-1014,共6页Acta Electronica Sinica

基　　金：国家自然科学基金(No60472097)

摘　　要：图像配准误差、杂波相关性以及阵列误差等对分布式星载合成孔径雷达地面运动目标检测的性能有很大影响.针对这种情况,研究了一种基于多通道、多像素联合自适应处理的运动目标检测及测速定位联合实现方法,首先将多通道、多像素联合数据等效为一个简单的阵列模型,通过空间投影的方法估计出存在图像配准误差情况下的运动目标真实的导向矢量形式,然后利用最优波束形成的方法在抑制杂波的同时,通过搜索代价函数的峰值来估计动目标的径向速度,从而对其进行重新定位.性能分析及仿真结果表明,此方法大大提高了动目标检测性能及测速定位精度,对图像配准误差具有较强的稳健性.The image registration error,clutter decorreclation and array error have a great influence on the performance of the distributed synthetic aperture radar ground moving target detection. In this paper, an approach on moving target detection and relocation is proposed based on multi-channel and multi-pixel adaptive signal processing in image domain. Firstly, the multi-channel and mulfi-pixel joint data is equaled to a simple array model. The real steering vector of the moving target can be estimated through the space projection approach on the condition that there is image registration error. The optimal beam forming approach is used to cancel clutter, and at the same lime the cross-track velocity of moving target can be determined by searching for the peak value of the cost function and then the moving target can be relocated on the image. The simulation results indicate this method has a good robusiness to image registration error, clutter decorrelation and array errs, and the detection performance and the estimation accuracy are improved greatly.

关 键 词：分布式卫星 地面运动目标检测(GMTI) 图像配准误差 最优波束形成 

分 类 号：TN957[电子电信—信号与信息处理]