一种低复杂度的稳健自适应波束形成

A low-complexity robust adaptive beamformer

针对目前多数稳健自适应波束形成方法计算复杂度高,在高信噪比时性能下降的问题,研究提出了一种低复杂度的稳健自适应波束形成方法,通过干扰区域空间谱积分重构干扰协方差矩阵,利用信号子空间的投影估计期望信号导向向量,降低计算量,提高稳健性。仿真实验表明,该算法能获得近似最优的输出信干噪比和更好的稳健性。

At present, most of robust adaptive beamformers tend to have two problems-One is the higher computational complexity and the other is the cancellation of the desired signal at high SNR. In this paper, a low-complexity robust adaptive beamformer with good robustness is proposed which reconstructs interference covariance matrix using the spatial spectrum integrated in the region of interference and estimates the steering vector of the desired signal using the projection of signal subspace. Simulation results demonstrate that the performance of the proposed method is almost always close to the optimal value.