基于矩阵重构的多径接收鲁棒波束形成算法

Robust Beamforming for Multipath Signal Reception Based on Matrix Reconstruction

针对存在失配误差时多径信号接收中的信号相消问题,提出了一种新的多径接收鲁棒波束形成算法。算法对信号来波方向进行预估,进行区间划分,基于干扰加噪声协方差矩阵重构,去除了接收数据中的期望信号及其多径相干信号分量,得出了波束形成最优权矢量的显式解;仿真实验表明:当存在失配误差时,算法不仅能够有效地接收多径相干信号,而且可以抑制干扰和噪声,在输入信噪比较高的情况下依然保持较好的性能,得到较高的输出信干噪比;算法在期望信号和多径信号数量较少且分布相对连续的情况下,能有效解决多径信号接收问题,提高了波束形成算法对模型失配误差的鲁棒性。

To solve the signal＇s self-nulling of multipath signal reception,a novel robust beamforming method was proposed. With pre-estimation of the direction of arrival（ DOA）,the DOA sector was separated. The interference-plus-noise covariance was reconstructed. The desired signal and its multipath signals were removed from the receipted data,and the explicit solution of optimal weight vector was derived. Simulation results show that the method can not only receive the multipath signal effectively,but also reject the interference and noise,and can get high signal-to-interference-plus-noise ratio（ SINR） with model mismatch when the signal-to-noise ratio（ SNR） is high. When the number of desired and multipath signals is small and their distribution is continuous,the method can effectively solve the multipath signal reception and improve the robustness on model mismatch.