scholarly journals DOA Estimation based on the Optimized Coprime Array Configuration

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 38789-38797 ◽  
Author(s):  
Ahmed Mohammed Ahmed Shaalan ◽  
Xiangyu Yu
Author(s):  
Saeed M. Alamoudi ◽  
Mohammed A. Aldhaheri ◽  
Saleh A. Alawsh ◽  
Ali H. Muqaibel

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Yan-kui Zhang ◽  
Hai-yun Xu ◽  
Da-ming Wang ◽  
Bin Ba ◽  
Si-yao Li

The existing coprime array is mainly applicable to circular sources, while the virtual array degree of freedom (DOF) for noncircular sources is enhanced limitedly. In order to perfect the array DOF and the direction of arrival (DOA) estimation accuracy, a high degree of freedom sparse array design method for noncircular sources is put forward. Firstly, the method takes the advantages of the characteristic of the noncircular sources to expand the array manifold and then explores and solves the location distribution of the physical array sensors on the basis of the virtual array model with the help of the searching approach. The array configuration can obtain the longest continuous virtual array. The comparisons between the proposed array configuration and the common array configurations are advanced. The simulation experiments show that the sparse array presented in this paper can effectively increase the continuous virtual array aperture of noncircular sources, improve the array DOF and DOA estimation accuracy, and achieve the purpose of better estimation of multiple DOAs in underdetermined conditions.


2020 ◽  
pp. 1-1
Author(s):  
Penghui Ma ◽  
Jianfeng Li ◽  
Fan Xu ◽  
Zhang Xiaofei
Keyword(s):  

2017 ◽  
Vol 53 (2) ◽  
pp. 113-115 ◽  
Author(s):  
Ye Tian ◽  
Hongyin Shi ◽  
He Xu

2018 ◽  
Vol 22 (12) ◽  
pp. 2495-2498 ◽  
Author(s):  
Jianfeng Li ◽  
Yunxiang Li ◽  
Xiaofei Zhang

2019 ◽  
Vol 68 (8) ◽  
pp. 7841-7853 ◽  
Author(s):  
Wang Zheng ◽  
Xiaofei Zhang ◽  
Yunfei Wang ◽  
Mengjie Zhou ◽  
Qihui Wu

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