A Low Complexity Algorithm for Direction of Arrival Estimation With Direction-Dependent Mutual Coupling

2020 ◽  
Vol 24 (1) ◽  
pp. 90-94 ◽  
Author(s):  
Qichao Ge ◽  
Yongshun Zhang ◽  
Yizhe Wang
2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Zhi-Chao Sha ◽  
Zhang-Meng Liu ◽  
Zhi-Tao Huang ◽  
Yi-Yu Zhou

This paper addresses the problem of direction-of-arrival (DOA) estimation of coherent signals in the presence of unknown mutual coupling, and an autoregression (AR) model-based method is proposed. The effects of mutual coupling can be eliminated by the inherent mechanism of the proposed algorithm, so the DOAs can be accurately estimated without any calibration sources. After the mixing matrix is estimated by independent component analysis (ICA), several parameter equations are established upon the mixing matrix. Finally, all DOAs of coherent signals are estimated by solving these equations. Compared with traditional methods, the proposed method has higher angle resolution and estimation accuracy. Simulation results demonstrate the effectiveness of the algorithm.


2016 ◽  
Vol 23 (12) ◽  
pp. 1791-1795 ◽  
Author(s):  
Kai Yu ◽  
Ralph E. Hudson ◽  
Yimin D. Zhang ◽  
Kung Yao ◽  
Charles Taylor ◽  
...  

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