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发布时间：2019-03-11

论文类型：期刊论文

发表时间：2006-01-01

发表刊物：3rd International Symposium on Neural Networks (ISNN 2006)

收录刊物：CPCI-S、EI、SCIE

卷号：3973

页面范围：108-113

ISSN号：0302-9743

摘要：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.