相互耦合条件下均匀圆阵列上相干信号的DOA估计

Liu Shuai, Chen Hui, Cong Haixia
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引用次数: 1

摘要

本文提出了一种基于均匀圆形阵列的相干信号到达方向估计方法。首先,将考虑相互耦合的阵列通过预处理转化为几何比例的虚拟阵列;然后用最大特征值对应的特征向量重构一个新的协方差矩阵,该特征向量包含所有信号的信息。此外,新的信号协方差矩阵是对角的,这意味着完全去相关。最后,基于新的协方差矩阵,结合MUSIC算法进行DOA估计。与传统方法相比,该方法具有更高的角分辨率和更低的信噪比阈值。此外,该方法在传感器之间存在相互耦合的情况下也能很好地工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DOA estimation of coherent signals on uniform circular array in the presence of mutual coupling
In this paper, a DOA (direction of arrival) estimation method of coherent signals based on uniform circular arrays, in the presence of sensor mutual coupling, is proposed. Firstly, the array considering mutual coupling is transformed into a virtual array of geometric proportion through preprocessing. Then a new covariance matrix is reconstructed with the eigenvector corresponding to the largest eigenvalue, which consists of all signals' information. In addition, the new signal covariance matrix is diagonal, which means a complete de-correlation. Finally, DOA can be estimated in conjunction with MUSIC algorithm based on the new covariance matrix. Compared with conventional methods, it has higher angular resolution and lower SNR (signal to noise ratio) threshold. Besides, this method also works well in the presence of mutual coupling between sensors.
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