12 citations · 21 across the 14 of their papers we have counts for
14 papers
Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments
Wentao Ma, Hua Qua, Guan Gui +3
Sparse adaptive channel estimation problem is one of the most important topics in broadband wireless communications systems due to its simplicity and robustness. So far many sparsi…
Iterative-Promoting Variable Step-size Least Mean Square Algorithm For Adaptive Sparse Channel Estimation
Beiyi Liu, Guan Gui, Li Xu
Least mean square (LMS) type adaptive algorithms have attracted much attention due to their low computational complexity. In the scenarios of sparse channel estimation, zero-attrac…
ROSA: Robust sparse adaptive channel estimation in the presence of impulsive noises
Guan Gui, Li Xu, Nobuhiro Shimoi
Based on the assumption of Gaussian noise model, conventional adaptive filtering algorithms for reconstruction sparse channels were proposed to take advantage of channel sparsity d…
Improved adaptive sparse channel estimation using mixed square/fourth error criterion
Guan Gui, Li Xu, Shinya Matsushita
Sparse channel estimation problem is one of challenge technical issues in stable broadband wireless communications. Based on square error criterion (SEC), adaptive sparse channel e…
Robust Adaptive Sparse Channel Estimation in the Presence of Impulsive Noises
Guan Gui, Li Xu, Wentao Ma +1
Broadband wireless channels usually have the sparse nature. Based on the assumption of Gaussian noise model, adaptive filtering algorithms for reconstruction sparse channels were p…
Improved Adaptive Sparse Channel Estimation Using Re-Weighted L1-norm Normalized Least Mean Fourth Algorithm
Chen Ye, Guan Gui, Li Xu +1
In next-generation wireless communications systems, accurate sparse channel estimation (SCE) is required for coherent detection. This paper studies SCE in terms of adaptive filteri…