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协方差矩阵重构的稳健自适应波束形成算法
引用本文:王昊,马启明.协方差矩阵重构的稳健自适应波束形成算法[J].声学学报,2019,44(2):170-176.
作者姓名:王昊  马启明
作者单位:杭州应用声学研究所 杭州 310023
基金项目:武器装备预研船舶重工联合基金项目(6141B04040101-08)海军武器装备预研项目(3020202010303)资助
摘    要:针对协方差矩阵含有期望信号成分以及波束指向角失配时,传统自适应波束形成器性能严重下降的问题,提出了协方差矩阵重构的稳健自适应波束形成算法。该算法将全空域划分成若干互不重叠的区域,分别对应干扰区域与信号区域,先利用Capon波束形成器对干扰区域积分,由此构造出干扰协方差矩阵。然后,利用标准Capon波束形成器的波束域MUSIC谱估计法对信号区域积分,重构出信号协方差矩阵,以其主特征向量作为期望信号导引向量估计。由于算法重构了干扰加噪声协方差矩阵并对导引向量进行了修正,保证了自适应波束形成器的性能。理论分析和仿真实验结果表明,算法在训练数据含有期望信号成分和波束指向角度失配情况下具有良好的性能。 

关 键 词:稳健自适应波束形成    角度失配    协方差矩阵重构    波束域
收稿时间:2017-03-01

A robust adaptive beamforming algorithm based on covariance matrix reconstruction
Affiliation:Hangzhou Applied Acoustics Research Institute, Hang zhou 310023
Abstract:Considering that the sample covariance matrix contains desired signal and look direction mismatch in steering vector exist,the performance of the traditional adaptive beamformer degrads greatly,this paper proposes a robust adaptive beamforming algorithm based on covariance matrix reconstruction.It divides the whole spatial area into several non-overlapping regions,corresponding to the interference region and desired signal region,respectively.The standard Capon beamformer is used to estimate the interference power,then the improved interference covariance matrix can be constructed by integrating power inside the interference region.Secondly,the signal covariance matrix is reconstructed by the beamspace MUSIC spectral estimation method using the standard Capon beamformer which integrates the signal power inside the desired signal region,with its main eigenvector as the desired signal steering vector.Thus,it avoids the performance degradation of the adaptive beamforming caused by the desired signal and angle mismatch.Theory analysis and simulation have shown that algorithm has good performance in the case of training data contains desired signal and angle mismatch. 
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