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

Qian Yu; Guoan Bi; Liren Zhang

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

Qian Yu, Guoan Bi, Liren Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2004 International Conference on Communications, Circuits and Systems
Pages	84-88
Number of pages	5
Publication status	Published - Dec 1 2004
Event	2004 International Conference on Communications, Circuits and Systems - Chengdu, China Duration: Jun 27 2004 → Jun 29 2004

Publication series

Name	2004 International Conference on Communications, Circuits and Systems
Volume	1

Other

Other	2004 International Conference on Communications, Circuits and Systems
Country/Territory	China
City	Chengdu
Period	6/27/04 → 6/29/04

Keywords

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

ASJC Scopus subject areas

Engineering(all)

Cite this

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title = "Bayesian blind multiuser detection for long code multipath DS-CDMA systems",

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.",

keywords = "Adaptive sampling, Bayesian inference, Long-code CDMA, Markov chain Monte Carlo procedure",

author = "Qian Yu and Guoan Bi and Liren Zhang",

year = "2004",

month = dec,

day = "1",

language = "English",

isbn = "0780386477",

series = "2004 International Conference on Communications, Circuits and Systems",

pages = "84--88",

booktitle = "2004 International Conference on Communications, Circuits and Systems",

note = "2004 International Conference on Communications, Circuits and Systems ; Conference date: 27-06-2004 Through 29-06-2004",

}

TY - GEN

T1 - Bayesian blind multiuser detection for long code multipath DS-CDMA systems

AU - Yu, Qian

AU - Bi, Guoan

AU - Zhang, Liren

PY - 2004/12/1

Y1 - 2004/12/1

N2 - 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.

AB - 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.

KW - Adaptive sampling

KW - Bayesian inference

KW - Long-code CDMA

KW - Markov chain Monte Carlo procedure

UR - http://www.scopus.com/inward/record.url?scp=11244253695&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=11244253695&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:11244253695

SN - 0780386477

SN - 9780780386471

T3 - 2004 International Conference on Communications, Circuits and Systems

SP - 84

EP - 88

BT - 2004 International Conference on Communications, Circuits and Systems

T2 - 2004 International Conference on Communications, Circuits and Systems

Y2 - 27 June 2004 through 29 June 2004

ER -

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

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

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