非均匀噪声环境下基于MISC阵列的自适应波束形成方法  

Adaptive Beamforming Method Based on MISC Array in Non-uniform Noise

作　　者：马立斯 何培宇[1] 崔敖 喻伟闯 MA Lisi;HE Peiyu;CUI Ao;YU Weichuang(College of Electronics and Information Engineering,Sichuan University,Chengdu,Sichuan 610065,China)

机构地区：[1]四川大学电子信息学院,四川成都610065

出　　处：《信号处理》2022年第2期268-275,共8页Journal of Signal Processing

基　　金：国家自然科学基金(U1733109)。

摘　　要：针对现有基于干扰加噪声协方差矩阵(Interference plus Noise Covariance Matrix,INCM)重建的自适应波束形成算法在非均匀噪声的情形中对于噪声功率估计不够准确的问题。本文在噪声非均匀的情况下,提出了一种基于最大阵元间距约束(Maximum Inter-element Spacing Constraint,MISC)阵列的自适应波束形成算法。通过矩阵补全技术,估计无噪声协方差矩阵和非均匀噪声协方差矩阵,然后利用无噪声协方差矩阵估计入射信号的波达方向(Direction of Arrival,DOA)与功率,最后重建INCM。得益于矩阵补全技术对非均匀噪声功率的准确估计和MISC阵列虚拟差分优化阵提供的高自由度,本文算法能够在非均匀噪声下更加准确地重建INCM。仿真实验结果验证了所提算法的有效性。The adaptive beamforming algorithm based on Interference plus Noise Covariance Matrix(INCM)reconstruction cannot accurately calculate the power of non-uniform noise.This paper proposes an adaptive beamforming algorithm based on Maximum Inter-element Spacing Constraint(MISC)array to address this problem.Firstly,the noise-free covariance matrix and the non-uniform noise covariance matrix are estimated using matrix completion technique.Then the noise-free covariance matrix is used to estimate the Direction of Arrival(DOA)and power of the incident signal.Finally,INCM is reconstructed.With the accurate estimation of the non-uniform noise power by the matrix completion technique and the high degree of freedoms provided by the MISC virtual difference co-array,the proposed algorithm can reconstruct INCM more accurately under non-uniform noise.Simulation results demonstrate the effectiveness of the proposed algorithm.

关 键 词：MISC阵列 矩阵补全 非均匀噪声 自适应波束形成 

分 类 号：TN911.72[电子电信—通信与信息系统]