Title :
Bayesian blind multiuser detection for long code multipath DS-CDMA systems
Author :
Qian Yu ; Guoan Bi ; Zhang, Leiqi
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
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 :
Bayes methods; Markov processes; Monte Carlo methods; adaptive signal processing; code division multiple access; multipath channels; multiuser detection; parameter estimation; radio receivers; signal sampling; BER performance; Bayesian Monte Carlo methods; Bayesian blind multiuser detection; Bayesian inference; Markov chain Monte Carlo procedure; adaptive sampling method; blind Bayesian multiuser receiver; burn-in period; code multipath DS-CDMA systems; data symbol estimation; long code multipath CDMA systems; multipath parameters estimation; Bayesian methods; Channel estimation; Communication systems; Convergence; Monte Carlo methods; Multiaccess communication; Multiuser detection; Parameter estimation; Sampling methods; Signal processing algorithms;
Conference_Titel :
Communications, Circuits and Systems, 2004. ICCCAS 2004. 2004 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
0-7803-8647-7
DOI :
10.1109/ICCCAS.2004.1345953