阵列误差对MUSIC算法性能的影响与校正  

Effect of array uncertainty on the performance of MUSIC and its calibration

作　　者：韩芳明[1] 张守宏[1] 潘复平[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：《西安电子科技大学学报》2003年第5期585-589,共5页Journal of Xidian University

基　　金：国家部委预研基金资助项目(99J7 1 1 DZ0116)

摘　　要：理论上分析了阵元增益误差和相位误差对基于子空间分解的MUSIC算法进行DOA估计性能的影响,在此基础上给出了一种基于最大似然估计的Toeplitz化通用自校正方法.该方法利用理想阵列协方差矩阵的Toeplitz性质,无需估计误差而可以对其作出补偿.仿真结果表明该方法不但可以减少MUSIC方法对阵列误差的敏感性,而且可以进一步降低其信噪比门限.Based on the theoretical analysis of the effect of element's gain and phase uncertainty on the performance of the subspace-decomposition-based MUSIC Algorithm in DOA estimation, a universal technique for calibration which is based on ML estimation and Toeplitzation is introduced. Utilizing the Toeplitz character of the array covariance matrix, it can compensate the array uncertainty without estimation. Computer simulation shows that it can not only alleviate its sensitivity to the array uncertainty, but further decrease its threshold of SNR.

关 键 词：阵列误差 MUSIC算法 DOA估计 最大似然估计 稳健性 

分 类 号：TN911.7[电子电信—通信与信息系统]