基于稀疏分解的阵列幅相误差自校正  

Self-calibration with sensor gain and phase uncertainty based on sparsely decomposition

作　　者：赵亮[1] 王建英[1] 

机构地区：[1]西南交通大学信息科学与技术学院,四川成都610031

出　　处：《信息化纵横》2009年第8期35-37,40,44,共5页

基　　金：国家自然科学基金项目(60602043)

摘　　要：针对现实条件下普遍存在的阵元通道幅相误差对波达方向DOA(Directions of Arrival)估计的影响,提出一种新的阵列误差自校正方法。该方法对接收信号进行稀疏分解,结合遗传算法寻优,可以精确估得信号源的波达方向,同时估计出各阵元的幅相误差值。该方法适用于任意阵列形式,在小于0 dB信噪比的情况下也能保持较好的估计准确性。计算机仿真验证了方法的有效性。As the effect of sensor gain and phase uncertainties on estimation of DOA（Directions of Arrival）, a new self- calibration method was presented. The method which combined signal sparsely decomposition and genetic algorithm provided estimation of the DOA of the radiating source as well as calibration of the gain and phase of each sensor in the observing array. The technique was not limited to a specific array configuration and provided high accuracy of DOA estimation under 0 dB circumstances. The computer simulation results show that the method is accurate and efficient.

关 键 词：稀疏分解 波达方向估计 幅相误差 自校正 

分 类 号：TN911.7[电子电信—通信与信息系统]