Title of Paper:Robust multiuser detection method based on neural-net preprocessing in impulsive noise environment

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Date of Publication:2006-01-01

Journal:3rd International Symposium on Neural Networks (ISNN 2006)

Included Journals:SCIE、EI、CPCI-S

Volume:3973

Page Number:108-113

ISSN No.: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.