均匀线阵互耦和幅相误差有源校正改进算法

阵列互耦和幅相误差会严重影响MUSIC算法的测向性能,为此重点研究了由互耦和幅相误差引起的阵列误差校正问题。针对均匀线阵,提出了一种改进的阵列误差校正算法,它通过矩阵特征分解得到一组校正源的方向向量来估计阵列误差,改进算法充分利用了均匀线阵互耦矩阵的特殊结构,并通过交替迭代的方法实现了阵列误差参数的优化校正。计算机仿真结果表明,改进算法提高了参数估计精度,并且可推广应用于校正源方位存在偏差的情况。

Improved active array calibration algorithm for mutual coupling and amplitude-phase error of uniform linear array

The mutual coupling and amplitude-phase error of an array have great negative impact on the direction finding performance of the MUSIC algorithm,hence the paper addresses the problem of calibrating the array errors arising from mutual coupling and amplitude-phase error.Aiming at the uniform linear array,the paper presents an improved array calibration algorithm,which estimates the array errors matrix from a set of measured steering vectors obtained by eigenvalue decomposition.The improved algorithm fully utilizes the special structure of mutual coupling matrix of the uniform linear array,and it realizes the optimized calibration for array errors by alternating iterative solution.Simulation results demonstrate that the improved algorithm can give highly accurate parameter estimation and can be extended to the situation that the calibration sources azimuths have deviations.