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An Array Switching Strategy for Direction of Arrival Estimation with Coprime Linear Array in the Presence of Mutual Coupling

机译:互耦条件下共质数线性阵列到达方向估计的阵列切换策略

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摘要

While the coprime array still suffers from performance degradation due to the mutual coupling dominated by the interleaved subarrays, we propose an array switching strategy for coprime linear array (CLA) by utilizing the large inter-element spacings of the subarrays to mitigate the mutual coupling. Specifically, we first collect the signals by separately activating the two subarrays, where the severe mutual coupling effect is significantly reduced. As a result, well-performed initial direction of arrival (DOA) estimates can be achieved. Subsequently, we establish a quadratic optimization problem by reconstructing the contaminated steering vector of the total CLA elaborately to calculate the mutual coupling coefficients with the initial DOA estimates. Finally, we can obtain refined DOA estimates by an iteration procedure based on the estimated mutual coupling matrix. In addition, numerical simulations are provided to demonstrate the merits of the proposed scheme.
机译:尽管由于互穿子阵列主导的互耦合,互质阵列仍然遭受性能下降的困扰,但我们通过利用子阵列的大元素间距来减轻互耦合,提出了互质线性阵列(CLA)的阵列切换策略。具体而言,我们首先通过分别激活两个子阵列来收集信号,这两个子阵列会严重降低严重的相互耦合效应。结果,可以获得良好执行的初始到达方向(DOA)估计。随后,我们通过精心重构总CLA的污染导向向量,以计算初始DOA估计的相互耦合系数,来建立二次优化问题。最后,我们可以基于估计的互耦合矩阵,通过迭代过程获得精炼的DOA估计。另外,提供了数值模拟以证明所提出的方案的优点。

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