基于子空间的稳健自适应波束形成方法

Robust Adaptive Beamforming Algorithm Based on Eigenspace Projection and Null-broadening

波束形成器在声纳平台轻微震动或干扰移动的情况下出现零陷致使其工作性能下降,为此提出一种基于子空间的具有自动扩宽干扰抑制零陷的稳健波束形成方法,利用子空间投影和数据协方差矩阵非对角元加载来形成波束形成器的权向量,使波束形成器具有子空间波束形成器对系统误差的稳健性,同时可自动地在干扰方位形成展宽的干扰抑制零陷,从而使波束形成器有效地抑制干扰而稳健地工作。实验仿真的结果验证了该方法的正确性和有效性。

The eigenspace -based adaptive beamformer can achieve high convergence rate and output signal to interference plus noise power ratio （SINR） in steering vector error. But, When the interferer moves quickly or the antenna platform vibrates, it is possible that the weight mismatches the data of measurement due to the perturbation of the interferer location. Therefore, the performance of beamformer will sharply degrade. In order to overcome this problem, the eigenspace - based linearly constrained minimum variance beamformer with null - broadening in the direction of the jammer is presented in this paper, which uses projected steering vector and automatic null - broadening technique to form weight vector. The null - broadening technique can effectively suppress interference, which increases the robustness of the algorithm. The results of computer simulation verify the efficiency of the proposed method and shows that it can work robustly when the interferer moves quickly or the sonar platform vibrates slightly.