一种基于广义旁瓣相消的稳健降维方法

A Robust Dimension Reduction Method Based on GSC

在自适应阵列信号处理中,为了高效进行干扰和噪声对消,提出了一种基于广义旁瓣相消的稳健降维方法。该方法利用信号子空间特征矢量和期望信号的投影导向矢量构造稳健降维阻塞矩阵,阻塞期望信号和噪声分量,使辅助支路中只含有干扰信号,达到了降维的效果,同时提高了算法对阵列天线误差的稳健性。仿真结果表明,该方法对阵列模型误差不敏感,可以有效地降低运算时间。

In adaptive array signal processing,a robust reduced-rank adaptive beamforming algorithm is proposed in this paper to get a better performance of interference cancellation and noise cancellation.A robust block and dimension reduction matrix using the structure of eigen-subspace is proposed to block the desired signal and noise.Therefore,not only can interferences be suppressed,but satisfactory dimension reduction be acquired also.By using robust processing,the proposed algorithm is not sensitive to the system error. Simulation results show that the proposed algorithm is not sensitive to the system error and it can reduce computation time effectively.