Paper Info
Title
A New Decision-Feedback Equalizer Based on a Mixed Blind Equalization Algorithm
Abstract
A new Decision-Feedback Equalizer (DFE) is proposed to overcome Inter-Symbol Interference (ISI) faster in the communication system without the aid of training sequences. Unlike the conventional DFE, the feedforward filter component and the feedback filter component in the proposed DFE operate with Constant Modulus Algorithm (CMA) and Decision-Directed (DD) algorithm respectively. It makes full use of the advantages of the CMApsilas ldquoeye-openedrdquo ability and DDpsilas faster convergence rate ability. Consequently the proposed DFE has the faster convergence rate than the conventional DFE which can improve the performance for the system. Simulations with underwater acoustic channels are presented and the simulation results are shown to prove the efficiency of the proposed DFE.
Year
DOI
Venue
2009
10.1109/SSME.2009.60
SSME
Keywords
Field
DocType
conventional dfe,feedback filter component,underwater acoustic channels,proposed dfe,full use,decision-directed algorithm,underwater acoustic communication,convergence rate,decision-feedback equalizer,feedforward filter component,constant modulus algorithm,communication system,mixed blind equalization algorithm,inter-symbol interference,convergence rate ability,decision feedback equalisers,intersymbol interference,new decision-feedback equalizer,feedforward neural networks,underwater acoustics,blind equalization,convergence,bandwidth
Convergence (routing),Intersymbol interference,Feedforward neural network,Underwater acoustic communication,Control theory,Computer science,Communications system,Algorithm,Rate of convergence,Interference (wave propagation),Blind equalization
Conference
ISBN
Citations 
PageRank 
978-0-7695-3729-0
0
0.34
References 
Authors
6
7
Name
Order
Citations
PageRank
Wei Rao102.37
Fei Xia2101.35
Yuan-yuan Liu300.34
Wen-qun Tan400.34
Huijun Xu572.87
Kang-ming Yuan600.34
Jian-bing Liu700.34