改进未知互耦信息下矩阵重构算法的波束形成

Improved Beamforming of Matrix Reconstruction Algorithm under Unknown Mutual Coupling Information

针对自适应波束形成器在低信噪比下受阵列互耦效应的干预而导致的性能下降问题,研究一种基于改进未知互耦信息下导向矢量失配的矩阵重构算法的波束形成。利用互耦矩阵的特殊性在加入互耦之前给期望信号导向矢量适配一个误差值,通过设置输入信噪比取值条件,调整导向矢量的估计值,进而对重构出来的干扰加噪声协方差矩阵进行二次特征分解,得到最优权矢量。仿真实验表明,算法显著提高了波束形成器应对未知的互耦信息下抗干扰的能力,在低信噪比下体现出更好的稳健性。该算法对方向矢量进行修正并增强了对干扰的抑制能力,显著提高了波束形成器的性能。

Aiming at the performance degradation of adaptive beamforming under low SNR due to the interference of array mutual coupling effect,a beamforming algorithm based on matrix reconstruction algorithm with improved guide vector mismatch under unknown mutual coupling information is studied.The algorithm first uses the particularity of the mutual coupling matrix to adapt an error value to the expected signal steering vector before adding the mutual coupling,adjusts the estimated value of the steering vector by setting the input SNR value condition,and finally performs the quadratic eigendecomposition on the reconstructed interference plus covariance matrix to obtain the optimal weight vector.The simulation results show that the algorithm can improve the anti-jamming ability of beamforming under unknown mutual coupling information,and has better robustness under low SNR.Because the algorithm modifies the steering vector and enhances the ability of interference suppression,the performance of beamforming is guaranteed.