基于谱分析的稳健自适应波束形成算法

针对在导向矢量存在误差情况下,自适应波束形成算法性能下降问题,提出一种基于谱分析的稳健自适应波束形成(SA-RAB)算法。算法利用空域与频域的对称性,根据真实导向矢量与理想导向矢量之间的误差,运用谱分析(SA)技术确定波束主瓣宽度,最后利用二阶锥规划(SOCP)技术在主瓣宽度内形成平顶响应,并在副瓣区域内进行干扰抑制。仿真结果表明:该算法可有效地抑制干扰,并输出理想的信号干扰噪声比(SINR),且提高了波束形成针对导向矢量误差的稳健性,验证了算法的有效性和优越性。

Spectral analysis based robust adaptive beamforming algorithm

To solve the problem of steering vector error in the adaptive beamformer,this paper presents a spectral analysis based robust adaptive beamforming(SA-RAB)algorithm.According to the symmetry of the space domain and frequency domain,the proposed algorithm uses the spectral analysis technology to get the main beam width based on the error between the ideal steering vector and the real steering vector,and at last uses the second-order cone programming(SOCP) technology to form a flat response in the main beam and suppress the interference in the sidelobe.Simulation result shows that the proposed algorithm can output ideal signal to interference plus noise ratio(SINR) and improve the robustness with the interference being well suppressed when the array steering vector is not accurate,confirming the validity and superiority of the proposed algorithm.