College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China.
College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China.
Sensors (Basel). 2020 Jun 25;20(12):3595. doi: 10.3390/s20123595.
This paper proposes a beamforming method in the presence of coherent multipath arrivals at the array. The proposed method avoids the prior knowledge or estimation of the directions of arrival (DOAs) of the direct path signal and the multipath signals. The interferences are divided into two groups based on their powers and the interference-plus-noise covariance matrix (INCM) is reconstructed through the doubly covariance matrix reconstruction concept. The composite steering vector (CSV) that accounts for the direct path signal and multipath signals is estimated as the principal eigenvector of the sample covariance matrix with interferences and noise removed. The optimal weight vector is finally computed using the INCM and the CSV. The proposed method involves no spatial smoothing and avoids reduction in the degree of freedom. Simulation results demonstrate the improved performance of the proposed method.
本文提出了一种在阵列存在相干多径到达时的波束形成方法。所提出的方法避免了直达路径信号和多径信号的到达方向 (DOA) 的先验知识或估计。根据其功率将干扰分为两组，并通过双协方差矩阵重构概念来重构干扰加噪声协方差矩阵 (INCM)。去除干扰和噪声后的样本协方差矩阵的主特征向量被估计为包含直达路径信号和多径信号的复合导向矢量 (CSV)。最后使用 INCM 和 CSV 计算最优权向量。所提出的方法不涉及空间平滑，也避免了自由度的减少。仿真结果表明了该方法的性能得到了改善。
