A Novel Mutual Coupling Compensation Method for Underdetermined Direction of Arrival Estimation in Nested Sparse Circular Arrays

2018 ◽  
Vol 66 (2) ◽  
pp. 909-917 ◽  
Author(s):  
Thomas Basikolo ◽  
Koichi Ichige ◽  
Hiroyuki Arai
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.


Sign in / Sign up

Export Citation Format

Share Document