Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Paper Publications
Robust multiuser detection method based on neural-net preprocessing in impulsive noise environment
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Indexed by:Journal Article
Date of Publication:2006-01-01
Journal:3rd International Symposium on Neural Networks (ISNN 2006)
Included Journals:CPCI-S、EI、SCIE
Volume:3973
Page Number:108-113
ISSN:0302-9743
Abstract:This paper models the ambient noise as a stable distribution and proposes a novel robust multiuser detection (MUD) method that involves an adaptive nonlinear preprocessor based on multilayer perceptron neural-network whose action is to suppress the negative effect of impulsive noises on the followed decorrelating decision-feedback (DDF) multiuser detector. Simulation results indicate the proposed new method is robust and offers performance enhancement over traditional technology in impulsive noises.