DOA estimation with uniform linear arrays in the presence of mutual coupling via blind calibration

2009 ◽  
Vol 89 (7) ◽  
pp. 1446-1456 ◽  
Author(s):  
Zhangmeng Liu ◽  
Zhitao Huang ◽  
Fenghua Wang ◽  
Yiyu Zhou
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

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Haiyun Xu ◽  
Weijia Cui ◽  
Fengtong Mei ◽  
Bin Ba ◽  
Chunxiao Jian

The sparse arrays using two uniform linear arrays have attracted considerable interest due to the capability of giving analytical expression of sensor location and owning robust direction-of-arrival (DOA) facing strong mutual coupling and sensor failure. In order to achieve the maximum consecutive virtual uniform linear array in difference coarray, in this paper, a design method of a novel sparse array using two uniform linear arrays (NSA-U2) is proposed. We first analyze the relationship between the values of displacement of two subarrays and difference coarray, and then we give the analytical expressions of the displacement and the number of consecutive lags. By discussing the selection of number of subarray sensors, the design of NSA-U2 is completed. Moreover, through choosing a proper compressed interelement spacing, NSA-U2 can be robust to mutual coupling effect. Numerical experiments prove the effectiveness and favorable performance of DOA estimation with mutual coupling.


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