Abstract | ||
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ó In a recent work, it has been found that the subop- timum detectors that are based on Markov chain Monte Carlo (MCMC) simulation techniques perform signicantly better than their sphere decoding (SD) counterparts. In this letter, we explore the sources of this difference and show that a modication to existing sphere decoders can result in some improvement in their performance, even though they still fall short when compared with the MCMC detector. We also present a novel SD detector that is an exact realization of max-log-MAP detector. We call this exact max-log SD detector. Comparison of the results of this detector with those of the max-log version of the MCMC detector reveals that the latter is near optimal. |
Year | DOI | Venue |
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2005 | 10.1109/LSP.2005.855558 | IEEE Signal Process. Lett. |
Keywords | Field | DocType |
markov processes,monte carlo methods,markov chain monte carlo | Mimo systems,Monte Carlo method,Mathematical optimization,Markov process,Maximum likelihood detection,Markov chain Monte Carlo,Decoding methods,Detector,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 10 | 1070-9908 |
Citations | PageRank | References |
15 | 1.30 | 7 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Behrouz Farhang-Boroujeny | 1 | 972 | 84.30 |
Behrouz Farhang-Boroujeny | 2 | 972 | 84.30 |
Rong-Rong Chen | 3 | 70 | 10.31 |