系统幅相误差的统计拟合  

The Statistical Fitting for Unknown Sensors Gain and Phase

作　　者：邵朝[1] 保铮[1] 

机构地区：[1]西安电子科技大学雷达信号处理重点实验室

出　　处：《电子学报》1997年第9期83-85,73,共4页Acta Electronica Sinica

基　　金：国家自然科学基金

摘　　要：本文讨论了等距线阵幅相误差的自校正，从理想数据协方差矩阵的Ｔｅｏｐｌｉｔｚ结构出发，建立关于系统幅相误差的线性方程组；在最小二乘准则下，采用了分离消无处理，使计算量大幅下降．对系统扰动的统计分布以及阵元个数各作了两种假设；根据不同假设下误差的统计特性，提出了几种不同的约束拟会准则，还对所提约束作了统计性能分析．最后，建立了基于广义特征分解的系统误差自校正方法．The paper deals with the auto-calibration problem for the gain and phase errors oflinear equi-spaced array. Based on the Teoplitz structure of the ideal covariance matrix,linear equations of phase and gain errors are established,and by making use of the least square criterion andthe splitting approachois adopted. Under two different hypotheses of perturbation of the systemand the number of the sensors of the array,several criterions are formed,and the statistical analysis is provided for these constraint conditions. Finally, the generalized eigen-decomposition autocalibration method is presented.

关 键 词：系统幅相误差 统计拟合 广义特征分解 信号分析 

分 类 号：TN911.6[电子电信—通信与信息系统]