Markov Chain Monte Carlo Algorithms for CDMA and MIMO Communication Systems
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]
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Signal Processing|
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