基于协方差矩阵重构的稳健波束形成算法

Robust Adaptive Beamforming Algorithm Based on Covariance Matrix Reconstruction

当期望信号导向矢量失配以及采样协方差矩阵中包含期望信号时,传统自适应波束形成器性能会下降。对此问题,提出了一种基于协方差矩阵重构的稳健波束形成算法。该算法首先通过对期望信号和干扰的大致来波方向范围进行积分以估计出导向矢量,然后利用主模式抑制去除信号间多余的相干性,并重构出最终的协方差矩阵。仿真实验表明,该算法提高了期望信号导向矢量失配时的稳健性,降低了对快拍数的敏感性。

A robust beamforming algorithm based on covariance matrix reconstruction is proposed to solve the problem of mismatch of steering vectors of desired signals and the performance degradation of traditional adaptive beamforming when the sampling covariance matrix contains desired signals.In this proposed algorithm,firstly,the steering vector is estimated by integral method based on the approximate direction range of the desired signal and interference,then the redundant coherence between signals is removed by using the main mode suppression,and the final covariance matrix is reconstructed.The simulation results show that the proposed algorithm improves the robustness of the desired signal steering vector mismatch and reduces the sensitivity to the number of snapshots.