Blind multiuser detection for long code multipath DS-CDMA systems with bayesian MC techniques

Qian Yu; Guoan Bi; Liren Zhang

doi:10.1007/s11277-006-9018-9

Blind multiuser detection for long code multipath DS-CDMA systems with bayesian MC techniques

Qian Yu, Guoan Bi, Liren Zhang

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

This paper presents an efficient Bayesian blind multiuser receiver for long code multipath CDMA systems. The proposed receiver employs the adaptive sampling method for the Bayesian inference procedure to estimate the data symbols and multipath parameters. Compared to the other reported Bayesian Monte Carlo receivers for long code multipath CDMA systems the proposed one achieves a faster convergence and a lower computational complexity to attain comparable performance. Simulation results are presented to demonstrate the effectiveness of the proposed Bayesian blind multiuser receiver.

Original language	English
Pages (from-to)	265-278
Number of pages	14
Journal	Wireless Personal Communications
Volume	39
Issue number	3
DOIs	https://doi.org/10.1007/s11277-006-9018-9
Publication status	Published - Nov 2006

Keywords

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

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

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10.1007/s11277-006-9018-9

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abstract = "This paper presents an efficient Bayesian blind multiuser receiver for long code multipath CDMA systems. The proposed receiver employs the adaptive sampling method for the Bayesian inference procedure to estimate the data symbols and multipath parameters. Compared to the other reported Bayesian Monte Carlo receivers for long code multipath CDMA systems the proposed one achieves a faster convergence and a lower computational complexity to attain comparable performance. Simulation results are presented to demonstrate the effectiveness of the proposed Bayesian blind multiuser receiver.",

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

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AU - Zhang, Liren

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N2 - This paper presents an efficient Bayesian blind multiuser receiver for long code multipath CDMA systems. The proposed receiver employs the adaptive sampling method for the Bayesian inference procedure to estimate the data symbols and multipath parameters. Compared to the other reported Bayesian Monte Carlo receivers for long code multipath CDMA systems the proposed one achieves a faster convergence and a lower computational complexity to attain comparable performance. Simulation results are presented to demonstrate the effectiveness of the proposed Bayesian blind multiuser receiver.

AB - This paper presents an efficient Bayesian blind multiuser receiver for long code multipath CDMA systems. The proposed receiver employs the adaptive sampling method for the Bayesian inference procedure to estimate the data symbols and multipath parameters. Compared to the other reported Bayesian Monte Carlo receivers for long code multipath CDMA systems the proposed one achieves a faster convergence and a lower computational complexity to attain comparable performance. Simulation results are presented to demonstrate the effectiveness of the proposed Bayesian blind multiuser receiver.

KW - Adaptive sampling

KW - Bayesian inference

KW - Long-code CDMA

KW - Markov chain Monte Carlo procedure

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Blind multiuser detection for long code multipath DS-CDMA systems with bayesian MC techniques

Abstract

Keywords

ASJC Scopus subject areas

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