一种嵌套阵列的盲到达方向和互耦估计方法

Jinqing Shen, Jianfeng Li, Beizuo Zhu, Changbo Ye
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引用次数: 2

摘要

嵌套阵列由于子阵列密集,容易发生相互耦合,严重影响性能。为了解决这一问题,本文设计了一种基于阵列交换的方案来实现盲到达方向和互耦估计。具体而言,我们利用NA固有的稀疏结构特征,首先打开稀疏子阵列进行初始DOA估计,这样可以在不受严重互耦合影响的情况下提供性能良好的估计。然后利用整个NA的接收信号,以较低的复杂度确定无二义角。在此基础上,重构了受污染的转向矢量,建立了二次优化问题来估计相互耦合系数。最后进行重新估计,得到精细化估计。数值模拟结果表明了该方案的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Blind Direction of Arrival and Mutual Coupling Estimation Scheme for Nested Array
Generally, nested array (NA) is susceptible to mutual coupling due to the dense subarray, which seriously degrades the performance. To address this issue, we design an array switching-based scheme to achieve the blind direction of arrival (DOA) and mutual coupling estimation in this paper. Specifically, by exploiting the inherent sparse structural characteristics of NA, we first switch the sparse subarray on to perform initial DOA estimation, which enables to offer the well-performed estimates free from the severe mutual coupling effect. Subsequently, the unambiguous angles are determined with low complexity by utilizing the received signal of the whole NA. Furthermore, the contaminated steering vector is reconstructed and a quadratic optimization problem is established to estimate the mutual coupling coefficients. Finally, re-estimation is conducted to obtain the refined estimates. Numerical simulations demonstrate the superiority of the proposed scheme.
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