Wideband Direction of Arrival Estimation in the Presence of Unknown Mutual Coupling
AbstractThis paper investigates a subarray based algorithm for direction of arrival (DOA) estimation of wideband uniform linear array (ULA), under the presence of frequency-dependent mutual coupling effects. Based on the Toeplitz structure of mutual coupling matrices, the whole array is divided into the middle subarray and the auxiliary subarray. Then two-sided correlation transformation is applied to the correlation matrix of the middle subarray instead of the whole array. In this way, the mutual coupling effects can be eliminated. Finally, the multiple signal classification (MUSIC) method is utilized to derive the DOAs. For the condition when the blind angles exist, we refine DOA estimation by using a simple approach based on the frequency-dependent mutual coupling matrixes (MCMs). The proposed method can achieve high estimation accuracy without any calibration sources. It has a low computational complexity because iterative processing is not required. Simulation results validate the effectiveness and feasibility of the proposed algorithm. View Full-Text
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Li, W.; Zhang, Y.; Lin, J.; Guo, R.; Chen, Z. Wideband Direction of Arrival Estimation in the Presence of Unknown Mutual Coupling. Sensors 2017, 17, 230.
Li W, Zhang Y, Lin J, Guo R, Chen Z. Wideband Direction of Arrival Estimation in the Presence of Unknown Mutual Coupling. Sensors. 2017; 17(2):230.Chicago/Turabian Style
Li, Weixing; Zhang, Yue; Lin, Jianzhi; Guo, Rui; Chen, Zengping. 2017. "Wideband Direction of Arrival Estimation in the Presence of Unknown Mutual Coupling." Sensors 17, no. 2: 230.
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