Robust beamforming for non-circular signals in uniform linear arrays with unknown mutual coupling

2021 ◽  
pp. 103378
Author(s):  
Zhen Meng ◽  
Shijian Dong ◽  
Xiasheng Shi ◽  
Xuesong Wang
Sensors ◽  
2016 ◽  
Vol 16 (6) ◽  
pp. 791 ◽  
Author(s):  
Nicola Anselmi ◽  
Marco Salucci ◽  
Paolo Rocca ◽  
Andrea Massa

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 144015-144026
Author(s):  
Yu Gong ◽  
Shaoqiu Xiao ◽  
Bing-Zhong Wang

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Sheng Liu ◽  
Jing Zhao ◽  
Yu Zhang

In this paper, an improved propagator method (PM) is proposed by using a two-parallel array consisting of two uniform large-spacing linear arrays. Because of the increase of element spacing, the mutual coupling between two sensors can be reduced. Firstly, two matrices containing elevation angle information are obtained by PM. Then, by performing EVD of the product of the two matrices, the elevation angles of incident signals can be estimated without direction ambiguity. At last, the matrix product is used again to obtain the estimations of azimuth angles. Compared with the existed PM algorithms based on conventional uniform two-parallel linear array, the proposed PM algorithm based on the large-spacing linear arrays has higher estimation precision. Many simulation experiments are presented to verify the effect of proposed scheme in reducing the mutual coupling and improving estimation precision.


2019 ◽  
Vol 8 (4) ◽  
pp. 1004-1007 ◽  
Author(s):  
Yuexian Wang ◽  
Ling Wang ◽  
Jian Xie ◽  
Matthew Trinkle ◽  
Brian W.-H. Ng

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