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Markov Chain Monte Carlo Algorithms for CDMA and MIMO Communication Systems

Farhang-Boroujeny, Behrouz; Zhu, Haidong; Shi, Zhenning

Description

In this paper, we develop novel Bayesian detection methods that are applicable to both synchronous code-division multiple-access and multiple-input multiple-output communication systems. Markov chain Monte Carlo (MCMC) simulation techniques are used to obtain Bayesian estimates (soft information) of the transmitted symbols. Unlike previous reports that widely use statistical inference to estimate a posteriori probability (APP) values, we present alternative statistical methods that are...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Journal article
URI: http://hdl.handle.net/1885/37353
Source: IEEE Transactions on Signal Processing
DOI: 10.1109/TSP.2006.872539

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