General Correntropy Based DOA Estimation for Coherent Source with Impulsive Noise

Author(s):  
Sheng Guan ◽  
Jin Chen ◽  
Kaikai Li ◽  
Yuqi Zhao
2022 ◽  
pp. 103383
Author(s):  
Kun Guo ◽  
Longxiang Guo ◽  
Yingsong Li ◽  
Liang Zhang ◽  
Zehua Dai ◽  
...  

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 67010-67025 ◽  
Author(s):  
Quan Tian ◽  
Tianshuang Qiu ◽  
Jitong Ma ◽  
Jingchun Li ◽  
Rong Li

2020 ◽  
Vol 24 (7) ◽  
pp. 1455-1458
Author(s):  
Jiacheng Zhang ◽  
Tianshuang Qiu ◽  
Shengyang Luan

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Xiaolong Su ◽  
Zhen Liu ◽  
Tianpeng Liu ◽  
Bo Peng ◽  
Xin Chen ◽  
...  

Coherent source localization is a common problem in signal processing. In this paper, a sparse representation method is considered to deal with two-dimensional (2D) direction of arrival (DOA) estimation for coherent sources with a uniform circular array (UCA). Considering that objective function requires sparsity in the spatial dimension but does not require sparsity in time, singular value decomposition (SVD) is employed to reduce computational complexity and ℓ2 norm is utilized to renew objective function. After the new objective function is constructed to evaluate residual and sparsity, a second-order cone (SOC) programming is employed to solve convex optimization problem and obtain 2D spatial spectrum. Simulations show that the proposed method can deal with the case of coherent source localization, which has higher resolution than 2D MUSIC method and does not need to estimate the number of coherent sources in advance.


2014 ◽  
Vol 104 ◽  
pp. 346-357 ◽  
Author(s):  
Jinfeng Zhang ◽  
Tianshuang Qiu ◽  
Aimin Song ◽  
Hong Tang

Sign in / Sign up

Export Citation Format

Share Document