一种导向矢量双层估计的稳健波束形成算法

A robust adaptive beamforming algorithm for double-layer estimation of steering vectors

针对自适应波束形成器在出现期望信号导向矢量失配和阵列流形误差时,性能急剧下降的问题,提出一种稳健的波束形成算法。该算法首先利用期望信号大致方位区间上的导向矢量构建一个线性空间,将期望信号导向矢量初步估计为该线性空间基向量的线性组合,再利用不确定集优化方法对初步估计的导向矢量进行校正,算法无需迭代求解,计算量较小。仿真结果表明该算法显著提高了波束形成器在导向矢量失配和阵列流形误差下的稳健性,输出性能优于目前的方法。

Since the performance of an adaptive beamformer degrades in the case of a mismatch between an array steering vector and array manifold errors,we proposed a robust beamforming algorithm.A linear space is constructed using the steering vector in the spatial sector where the desired signal can be located,and the desired signal steering vector is initially estimated as a linear combination of the basis vectors in the linear space.Then,the estimated signal steering vector is corrected using the uncertainty-set optimization method.The proposed algorithm has a small amount of calculation,and any iterative solution is unnecessary.The simulation results show that the proposed algorithm significantly enhances the robustness of the beamformer in the case of a mismatch between an array steering vector and array manifold errors,and the output performance is superior to that of the current method.