Jiang’aN Dai
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Jiang’aN Dai has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Quan Tian
School of Electronics and Information Engineering, Taizhou University, Taizhou, China
2 shared publications - Shengyang Luan
School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, China
2 shared publications - Tianshuang Qiu
Dalian University of Technology
2 shared publications - Jiacheng Zhang
School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China
1 shared publication
Latest Publications
- 25 July 2023
- Published by Springer Nature in Circuits, Systems, and Signal Processing
- Vol. 42 (12) , 7250-7274
DMCE-FrPSD-Based Parameter Estimation Method for Bistatic MIMO Radar Under Alpha-Stable Distributed Noise
- 25 July 2023
- Published by Springer Nature in Circuits, Systems, and Signal Processing
- Vol. 42 (12) , 7250-7274
DMCE-FrPSD-Based Parameter Estimation Method for Bistatic MIMO Radar Under Alpha-Stable Distributed Noise
- Open Access
An Improved Toeplitz Approximation Method for Coherent DOA Estimation in Impulsive Noise Environments
Direction of arrival (DOA) estimation is an important research topic in array signal processing and widely applied in practical engineering. However, when signal sources are highly correlated or coherent, conventional subspace-based DOA estimation algorithms will perform poorly due to the rank deficiency in the received data covariance matrix. Moreover, conventional DOA estimation algorithms are usually developed under Gaussian-distributed background noise, which will deteriorate significantly in impulsive noise environments. In this paper, a novel method is presented to estimate the DOA of coherent signals in impulsive noise environments. A novel correntropy-based generalized covariance (CEGC) operator is defined and proof of boundedness is given to ensure the effectiveness of the proposed method in impulsive noise environments. Furthermore, an improved Toeplitz approximation method combined CEGC operator is proposed to estimate the DOA of coherent sources. Compared to other existing algorithms, the proposed method can avoid array aperture loss and perform more effectively, even in cases of intense impulsive noise and low snapshot numbers. Finally, comprehensive Monte-Carlo simulations are performed to verify the superiority of the proposed method under various impulsive noise conditions.
Open AccessAn Improved Toeplitz Approximation Method for Coherent DOA Estimation in Impulsive Noise Environments
Direction of arrival (DOA) estimation is an important research topic in array signal processing and widely applied in practical engineering. However, when signal sources are highly correlated or coherent, conventional subspace-based DOA estimation algorithms will perform poorly due to the rank deficiency in the received data covariance matrix. Moreover, conventional DOA estimation algorithms are usually developed under Gaussian-distributed background noise, which will deteriorate significantly in impulsive noise environments. In this paper, a novel method is presented to estimate the DOA of coherent signals in impulsive noise environments. A novel correntropy-based generalized covariance (CEGC) operator is defined and proof of boundedness is given to ensure the effectiveness of the proposed method in impulsive noise environments. Furthermore, an improved Toeplitz approximation method combined CEGC operator is proposed to estimate the DOA of coherent sources. Compared to other existing algorithms, the proposed method can avoid array aperture loss and perform more effectively, even in cases of intense impulsive noise and low snapshot numbers. Finally, comprehensive Monte-Carlo simulations are performed to verify the superiority of the proposed method under various impulsive noise conditions.