Shen Jinqing, He Yi, Li Jianfeng
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing 211106, China.
Sensors (Basel). 2020 Mar 14;20(6):1629. doi: 10.3390/s20061629.
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.
虽然互质阵列仍因交错子阵列主导的互耦而性能下降,但我们通过利用子阵列较大的阵元间距来减轻互耦,提出了一种用于互质线性阵列(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,其中严重的互耦效应显著降低。结果,可以实现性能良好的初始到达方向(DOA)估计。随后,我们通过精心重构总CLA受污染的导向矢量来建立一个二次优化问题,以利用初始DOA估计来计算互耦系数。最后,我们可以通过基于估计的互耦矩阵的迭代过程获得精确的DOA估计。此外,还提供了数值模拟以证明所提方案的优点。