Improved Noise Modeling with Mutual Coupling in Receiving Antenna Arrays for Direction-of-Arrival Estimation

2012 ◽  
Vol 11 (4) ◽  
pp. 1616-1621 ◽  
Author(s):  
C. H. Niow ◽  
H. T. Hui
Keyword(s):  
Antenna Arrays ◽  
Mutual Coupling ◽  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Noise Modeling ◽  
Receiving Antenna

Mutual Coupling Compensation in Receiving Antenna Arrays

2021 ◽  
Vol 35 (11) ◽  
pp. 1316-1317
Author(s):  
Sana Khan ◽  
Hassan Sajjad ◽  
Mehmet Ozdemir ◽  
Ercument Arvas
Keyword(s):  
Antenna Arrays ◽  
Mutual Coupling ◽  
Incident Angle ◽  
Direction Of Arrival ◽  
Thin Wire ◽  
Mutual Impedance ◽  
Receiving Antenna

Mutual coupling compensation in uniform linear and circular receiving antenna arrays of thin wire dipoles is presented. It was observed that the mutual impedance is independent of the incident angle and depends solely on the geometry of the array. By using only one measurement, decoupling matrix is computed and direction of arrival is estimated.

scholarly journals AR Model-Based Direction-of-Arrival Estimation of Coherent Signals in the Presence of Unknown Mutual Coupling

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Zhi-Chao Sha ◽  
Zhang-Meng Liu ◽  
Zhi-Tao Huang ◽  
Yi-Yu Zhou
Keyword(s):  
Mutual Coupling ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Ar Model ◽  
Estimation Accuracy ◽  
Direction Of Arrival Estimation ◽  
Coherent Signals ◽  
Model Based ◽  
Mixing Matrix ◽  
Simulation Results

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.

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