Conformal antenna array radiation pattern synthesis by tilt correction to improve Direction-of-Arrival estimation accuracy

2020 ◽  
Vol 40 (4) ◽  
pp. 262-275
Author(s):  
Mehdi Sharifi ◽  
Pejman Rezaei
Keyword(s):  
Antenna Array ◽  
Radiation Pattern ◽  
Direction Of Arrival ◽  
Estimation Accuracy ◽  
Direction Of Arrival Estimation ◽  
Pattern Synthesis ◽  
Tilt Correction ◽  
Conformal Antenna

scholarly journals Wideband and Reconfigurable Vector Antenna Using Radiation Pattern Diversity for 3-D Direction-of-Arrival Estimation

2019 ◽  
Vol 67 (6) ◽  
pp. 3586-3596 ◽  
Author(s):  
Johan Duplouy ◽  
Christophe Morlaas ◽  
Herve Aubert ◽  
Patrick Potier ◽  
Philippe Pouliguen ◽  
...  
Keyword(s):  
Radiation Pattern ◽  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Pattern Diversity ◽  
Vector Antenna

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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