通道不一致性、互耦对最优阵列处理器的影响

Effect of Channel-to-Channel Mismatch and Mutual-Coupling on the Performance of Optimum Array. Processors

本文研究了通道幅相不一致性、互耦这两种误差对最优阵列处理器性能的影响。理论分析结果表明,对于只利用干扰加噪声协方差矩阵求逆的自适应方法(简称NAMI法),当干噪比(JNR)较大时,这两种误差不会导致零点位置的漂移,但零点深度有所变化;对于信号加干扰和噪声协方差矩阵求逆自适应方法(简称SPNMI法),当信噪此(SNR)较小或较大时,零点位置变化不大,但性能损失比NAMI法严重得多。如果能加以补偿,则SPNMI法与NAMI法有相同的结果。我们用矩量法计算得到的互耦矩阵对此进行了仿真模拟,实验结果证明了理论分析的正确性。

The optimal weights of an antenna array processor, which maximizes the output signal-to-noise ratio (SNR) in the absence of channel-to-channel mismatch and mutual coupling, are computed with the noise-alone matrix inverse (NAMI) and the steering vector in the look direction or the signal-plus-noise matrix inverse (SPNMI) and the steering vector. In practice the estimated optimal weights are corrupted by channel-to-channel mismatch and mutual coupling. This paper discusses the effect of two sorts of main errors both on the pattern nulls and the performance of the NAMI processor and the SPNMI.processor by analyses and computer simulations.