DOA estimation and self-calibration algorithm for multiple subarrays in the presence of mutual coupling
DOA estimation and self-calibration algorithm for multiple subarrays in the presence of mutual coupling
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DOI：
10.1049/ip-rsn:20045128
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发表时间：
2006-07
期刊：
影响因子：
--
通讯作者：
C. Qi;Z. Chen;Y. Zhang;Y. Wang
中科院分区：
文献类型：
--
作者：
C. Qi;Z. Chen;Y. Zhang;Y. Wang
本文提出了一种计算高效的算法，用于估计不相关源的到达方向（DOA）以及用于构成多个子阵的传感器之间的相互耦合的自校准，每个子阵内部均匀间隔。这些子阵列的大小可能不同，但其子阵列轴的方向相同。此处将相互耦合建模为独立于事件源。 DOA 可识别性也进行了研究。仿真结果表明，新算法具有分辨率高、计算复杂度低、自标定精度高等优点。
A computationally efficient algorithm is herein proposed for estimation of the direction of arrival (DOA) of uncorrelated sources and for self-calibration of mutual coupling among sensors constituting several subarrays, with each subarray internally uniformly spaced. These subarrays may differ in size but are identical in the orientation of their subarray-axes. Mutual coupling is herein modelled as independent of the incident sources. DOA identifiability is also investigated. Simulation results illustrate that the new algorithm possesses high resolution, low computational complexity and better accuracy of self-calibration.