一种基于一维噪声子空间的幅相误差自校正方法  

A self-calibration method for gain and phase uncertainties based on one-dimension noise sub-space algorithm

作　　者：周治宇[1] 陈豪[1] 

机构地区：[1]中国空间技术研究院西安分院空间微波技术国家级重点实验室,西安710100

出　　处：《电子测量与仪器学报》2009年第2期58-62,共5页Journal of Electronic Measurement and Instrumentation

摘　　要：以MUSIC、数字波束形成为代表的一类阵列信号处理方法,在存在阵列和通道幅相误差时,性能急剧下降。本文在介绍Friedlander经典自校正算法基础上,指出了该算法的不足,并提出了基于一维噪声子空间的自校正算法,还给出了算法详细实现步骤,该算法能在估计DOA方向同时进行阵列幅相误差校正。MATLAB和DSP仿真结果表明新算法性能良好。The performances of some array signal processing methods such as MUSIC and digital beamform would be rapidly dropped if the sensors and the channels have gain and phase uncertainties. A classic self-calibration method presented by Friedlander is introduced in this paper, and its shortcoming is also pointed out. Then a self-calibration method based on one-dimension noise sub-space algorithm and its process is presented in detail. The method can estimate DOA and calibrate the gain and phase uncertainties at the same time. Matlab and DSP simulation demonstrate that the new method has a good performance.

关 键 词：校正 幅相误差 MUSIC DOA 

分 类 号：TN911.7[电子电信—通信与信息系统]