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提出了一种基于阵列指向性二次型约束的优化算法,以提高最小方差无畸变响应(MVDR)波束形成对方向矢量的稳健性。通过控制阵列波束指向附近的小区域的自适应波束图与期望波束图的加权平方误差,使波束主瓣区域内的信号畸变最小,同时保持了对约束区间外的干扰信号的抑制能力。数值结果表明:在理想阵形和阵形畸变情况下,无方位失配时,利用本文算法的阵列输出信号与干扰噪声比(SINR)与新近出现的球面约束稳健Capon方法相当,而存在方位失配时,本文算法均优于后者。
An optimization algorithm based on quadratic constraint of array directivity is proposed to improve the robustness of the directional vector with minimum variance distortionless response (MVDR) beamforming. By controlling the weighted square error between the adaptive beam pattern and the desired beam pattern of a small area near the array beam, the signal distortion in the beam main lobe area is minimized while the suppression ability of the interference signal outside the constraint interval is maintained. The numerical results show that the array output signal-to-interference-noise ratio (SINR) using the proposed algorithm is comparable to the newly developed robust Capon method for spherical misalignment in the absence of azimuth mismatch between ideal and line-shaped distortion, With time, the algorithm is better than the latter.