2D-DOA Estimation based on L-shaped Arrays with Unknown Mutual Coupling Conditions

Jia-Han Huang, Chun-Jie Zhang, Liang Tang
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Abstract

The mutual coupling effect seriously affects the steering vector of the array, resulting in poor performance or even failure of the traditional algorithms and algorithms for estimation. The estimation under the mutual coupling condition generally involves the joint estimation of the mutual coupling matrix of the array and the arrival direction of the signal, which has the disadvantages of difficult search of the two-dimensional spectral peaks and large computational effort. In this paper, an estimation algorithm based on a shaped array is proposed without the need for mutual coupling matrix estimation. The estimation of the signal is accomplished by reasonably selecting two subarrays that are rotationally invariant under the influence of mutual coupling.
基于互耦合条件未知的l形阵列二维doa估计
相互耦合效应严重影响阵列的转向矢量,导致传统算法和估计算法性能不佳甚至失效。互耦条件下的估计一般涉及阵列互耦矩阵与信号到达方向的联合估计,缺点是二维谱峰搜索困难,计算量大。本文提出了一种不需要互耦矩阵估计的基于形阵的估计算法。在相互耦合的影响下,通过合理选择两个旋转不变的子阵列来实现信号的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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