Bayesian blind multiuser detection for long code multipath DS-CDMA systems

Qian Yu, Guoan Bi, Liren Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an efficient blind Bayesian multiuser receiver for long code multipath CDMA systems. An adaptive sampling method, which is a kind of Markov chain Monte Carlo procedure, is used to perform the Bayesian inference with the process of estimating data symbols and multipath parameters. The main achievement of the proposed approach is to remove the burn-in period that is needed by other reported Bayesian Monte Carlo methods. Simulations demonstrate that the proposed approach achieves a faster convergence with a slightly improved BER performance for long code multipath CDMA systems.

Original languageEnglish
Title of host publication2004 International Conference on Communications, Circuits and Systems
Pages84-88
Number of pages5
Publication statusPublished - 2004
Externally publishedYes
Event2004 International Conference on Communications, Circuits and Systems - Chengdu, China
Duration: Jun 27 2004Jun 29 2004

Publication series

Name2004 International Conference on Communications, Circuits and Systems
Volume1

Other

Other2004 International Conference on Communications, Circuits and Systems
Country/TerritoryChina
CityChengdu
Period6/27/046/29/04

Keywords

  • Adaptive sampling
  • Bayesian inference
  • Long-code CDMA
  • Markov chain Monte Carlo procedure

ASJC Scopus subject areas

  • General Engineering

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