一种稳健的稀疏Capon波束形成算法

常规Capon波束形成算法具有相对较高的旁瓣增益,且在期望信号导向矢量存在失配时,阵列输出性能下降甚至失效。为解决这一问题,引入了稀疏约束Capon波束形成算法,该算法降低了旁瓣,对期望信号来向不确定具有一定稳健性,但在幅相误差、期望信号指向偏差等多种误差同时存在的情况下其性能下降。本文在稀疏约束Capon波束形成算法基础上,给出了一种稳健的稀疏Capon波束形成算法。该算法主要是在最差性能最优化的情况下,在稀疏Capon上增加了一个导向矢量存在偏差的约束条件。通过计算机仿真,验证了新算法在多种误差环境下的有效性与优越性。

A sparse robust Capon beamforming algorithm

Conventional Capon beamforming algorithm has relatively high sidelobe gain. The array output performance will degrade or even become invalid when there is a mismatch in the desired signal steering vector. To solve this problem, a sparse constraint Capon beamforming algorithm is proposed. The algorithm can reduce the sidelobe, and bears robustness of the desired signal uncertainty; whereas its performance will degrade when dealing with the complicated situations in which the array amplitude errors, phase errors, and desired-orientation errors exist simultaneously. A novel sparse robust Capon beamforming algorithm is put forward in this paper. It adds a deviation steering vector to the sparse Capon under worst-case performance optimization. Simulation results demonstrate the validity and superiority of this proposed algorithm.