用于卫星干扰源定位的压缩感知DOA估计方法  

Satellite Interference Localization Method Based on the Compressed Sensing DOA Estimation

作　　者：赵宏伟[1] 刘波[1] 刘恒[1] 

机构地区：[1]西安空间无线电技术研究所,西安710100

出　　处：《火力与指挥控制》2016年第10期25-28,共4页Fire Control & Command Control

基　　金：国家自然科学基金资助项目(61201089)

摘　　要：针对传统测向方法的实际应用性能较差,提出一种基于压缩感知(CS)的卫星干扰源定位方法。根据干扰信号方位角的空间稀疏性,建立了压缩感知波达方向(DOA)估计模型。通过协方差矩阵的高阶幂逼近信号子空间和矩阵的共轭对称特征,利用高阶幂矩阵的主对角线下左下角列向量进行波达方向估计。仿真实验验证,该方法不需要已知干扰源数,具有较高的精度和较好的分辨力,且能满足对相干干扰信号的估计。对压缩感知DOA估计在卫星干扰源定位中的应用具有一定参考意义。The conventional direction finding methods have poor performance in the actualapplication. A satellite interference localization method based on the compressed sensing theory （CS） isproposed. Based on the interference signal angle’s sparseness in angle space, the correspondingdirection of arrival （DOA） model is constructed. This method approximates the signal subspace throughthe high-order power of the spatial covariance matrix. Then the column vector in the lower left cornerof the main diagonal of the high order power matrix is extracted to do DOA estimation. Theexperimental results show the method is better than the MUSIC algorithm in the aspects of resolution,accuracy, and capability of estimating coherent signals without the number of signals. This promotesthe application of compressed sensing in satellite interference localization.

关 键 词：卫星干扰源定位 波达方向估计 压缩感知 协方差矩阵 高阶幂 

分 类 号：TN975[电子电信—信号与信息处理]