12 citations · 18 across the 8 of their papers we have counts for
8 papers · 1 filter
Iterative-Promoting Variable Step Size Least Mean Square Algorithm for Accelerating Adaptive Channel Estimation
Beiyi Liu, Guan Gui, Li Xu +1
Invariable step size based least-mean-square error (ISS-LMS) was considered as a very simple adaptive filtering algorithm and hence it has been widely utilized in many applications…
Block Bayesian Sparse Learning Algorithms With Application to Estimating Channels in OFDM Systems
Guan Gui, Li Xu, Lin Shan
Cluster-sparse channels often exist in frequencyselective fading broadband communication systems. The main reason is received scattered waveform exhibits cluster structure which is…
Affine Combination of Two Adaptive Sparse Filters for Estimating Large Scale MIMO Channels
Guan Gui, Li Xu
Large scale multiple-input multiple-output (MIMO) system is considered one of promising technologies for realizing next-generation wireless communication system (5G) to increasing…
Adaptive MIMO Channel Estimation using Sparse Variable Step-Size NLMS Algorithms
Guan Gui, Li Xu, Lin Shan +1
To estimate multiple-input multiple-output (MIMO) channels, invariable step-size normalized least mean square (ISSNLMS) algorithm was applied to adaptive channel estimation (ACE).…
Novel Realization of Adaptive Sparse Sensing with Sparse Least Mean Fourth Algorithm
Guan Gui, Li Xu, Xiao-mei Zhu +1
Nonlinear sparse sensing (NSS) techniques have been adopted for realizing compressive sensing (CS) in many applications such as Radar imaging and sparse channel estimation. Unlike…
Extra Gain:Improved Sparse Channel Estimation Using Reweighted l_1-norm Penalized LMS/F Algorithm
Guan Gui, Li Xu, Fumiyuki Adachi
The channel estimation is one of important techniques to ensure reliable broadband signal transmission. Broadband channels are often modeled as a sparse channel. Comparing with tra…