均匀线性阵列的欠定低复杂度宽带DOA估计

Hantian Wu, Qing Shen, Wei Liu, W. Cui
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引用次数: 8

摘要

对于具有特殊间距和系统设置的均匀线性阵列(ULA),首先通过离散傅立叶变换(DFT)将接收到的信号分解为不同的频仓。通过将感兴趣的频率分组成几对,提出了一种广义复杂度降低方法,将每个频率的自相关矩阵中的冗余项和不同频率的互相关矩阵中的冗余项合并,然后采用基于群稀疏度的低复杂度方法求出碰撞信号的到达方向。仿真结果表明,该方法可以显著降低算法复杂度,提高算法性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Underdetermined Low-Complexity Wideband DOA Estimation with Uniform Linear Arrays
For a uniform linear array (ULA) with specially designed spacing and system settings, the received signals are first decomposed into different frequency bins via discrete Fourier transform (DFT). By grouping the frequencies of interest into several pairs, a generalized complexity reduction method is proposed to merge the redundant entries in both the auto-correlation matrices at each frequency and the cross-correlation matrices across different frequencies, followed by the group sparsity based low-complexity method to find the directions of arrival (DOAs) of the impinging signals. Simulation results demonstrate that significantly reduced complexity and improved performance can be achieved by the proposed method.
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