一种样本污染且快拍数有限情况下的稳健的波束形成方法

A Robust Beamforming Method in the Situation of Sample Pollution and Limited Snapshots

样本污染情况下,期望信号方向上也可能形成零陷,导致输出信号干扰噪声比严重下降;快拍数有限情况下,假设的白噪声表现为色噪声,从而加剧了自适应波束形成畸变。基于此,该文从采样协方差矩阵特征值分析出发,提出了一种自适应修正方法,相当于对采样协方差矩阵进行扰动,从而提高了波束形成的性能和稳健性。性能分析和计算机仿真验证了所提方法的可行性和有效性。

In the situation of sample pollution, nulls would be formed in the expected direction, which results a great decrease in the signal-to-interference-noise ratio. And in the situation of limited snapshots, the given white noise exists in the form of color noise, so that there would be an increase in the distortion of adaptive beam_forming. Based on these, an adaptive method is presented in this paper by analyzing the eigenvalues of sampling covariance matrix. This method is equivalent to interfering the sampling covariance matrix in order to improve the performance and robustness of beamforming. Finally, performance analysis and computer simulation demonstrate the feasibility and effectiveness of this method.