基于重构协方差矩阵空时二维杂波抑制方法  

Method for clutter suppression based on covariance matrix reconstruction in airborne radar

作　　者：李晓明[1] 冯大政[1] 夏宇垠[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：《系统工程与电子技术》2008年第12期2366-2370,共5页Systems Engineering and Electronics

基　　金：国家自然科学基金资助课题(60672128)

摘　　要：针对杂波环境严重非均匀导致协方差矩阵估计失真、空时自适应处理性能下降的问题,提出了一种杂波协方差矩阵重构方法,并利用重构的杂波协方差矩阵实现杂波抑制。该方法充分利用了载机速度给定时杂波分布轨迹已知这一先验知识,考虑了天线方向图的调制,通过改变空时相关函数调节杂波带宽,可以实现任意杂波协方差矩阵重构。计算机仿真分析和实测数据处理结果表明,所提出的方法在非均匀杂波环境中,与小自由度的降维自适应算法相比具有更好的动目标检测性能。The heterogeneous clutter environments lead to covariance matrix estimation errors and spacetime adaptive processing performance degradation. A nonadaptive space-time processing algorithm for clutter suppression based on the reconstruction of clutter covariance matrixes is presented. In airborne radar, the location of the ground clutter in angle-Doppler space is known, given the platform speed and direction. The clutter covariance matrix reconstruction method is made full use of this a-priori information. At the same time, the antenna pattern and space-time correlation are also considered, so the method can be used for non-sidelooking airborne radar. The simulation analysis and experiment results by using measured data show the excellent per- formance of the proposed processor in the presence of non-homogeneous clutter, comparing with partly adaptive processor in the literature.

关 键 词：机载雷达 非自适应空时二维信号处理 杂波抑制 协方差矩阵重构 

分 类 号：TN391[电子电信—物理电子学]