On Performance of Sphere Decoding and Markov Chain Monte Carlo Detection Methods.
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| Title: | On Performance of Sphere Decoding and Markov Chain Monte Carlo Detection Methods. |
|---|---|
| Authors: | Haidong Zhu1 haidongz@eng.utah.edu, Farhang-Boroujeny, Behrouz1,2 farhang@ece.utah.edu, Rong-Rong Chen1,3 rchen@ece.utah.edu |
| Source: | IEEE Signal Processing Letters. Oct2005, Vol. 12 Issue 10, p669-672. 4p. 2 Diagrams, 1 Chart, 2 Graphs. |
| Subjects: | Detectors, Monte Carlo method, Markov processes, Simulation methods & models, Spectrum analysis |
| Abstract: | In a recent work, it has been found that the suboptimum detectors that are based on Markov chain Monte Carlo (MCMC) simulation techniques perform significantly better than their sphere decoding (SD) counterparts. In this letter, we explore the sources of this difference and show that a modification 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. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Signal Processing Letters is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 18459528 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: On Performance of Sphere Decoding and Markov Chain Monte Carlo Detection Methods. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Haidong+Zhu%22">Haidong Zhu</searchLink><relatesTo>1</relatesTo><i> haidongz@eng.utah.edu</i><br /><searchLink fieldCode="AR" term="%22Farhang-Boroujeny%2C+Behrouz%22">Farhang-Boroujeny, Behrouz</searchLink><relatesTo>1,2</relatesTo><i> farhang@ece.utah.edu</i><br /><searchLink fieldCode="AR" term="%22Rong-Rong+Chen%22">Rong-Rong Chen</searchLink><relatesTo>1,3</relatesTo><i> rchen@ece.utah.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Signal+Processing+Letters%22">IEEE Signal Processing Letters</searchLink>. Oct2005, Vol. 12 Issue 10, p669-672. 4p. 2 Diagrams, 1 Chart, 2 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Detectors%22">Detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Markov+processes%22">Markov processes</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrum+analysis%22">Spectrum analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In a recent work, it has been found that the suboptimum detectors that are based on Markov chain Monte Carlo (MCMC) simulation techniques perform significantly better than their sphere decoding (SD) counterparts. In this letter, we explore the sources of this difference and show that a modification 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Signal Processing Letters is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/LSP.2005.855558 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 669 Subjects: – SubjectFull: Detectors Type: general – SubjectFull: Monte Carlo method Type: general – SubjectFull: Markov processes Type: general – SubjectFull: Simulation methods & models Type: general – SubjectFull: Spectrum analysis Type: general Titles: – TitleFull: On Performance of Sphere Decoding and Markov Chain Monte Carlo Detection Methods. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Haidong Zhu – PersonEntity: Name: NameFull: Farhang-Boroujeny, Behrouz – PersonEntity: Name: NameFull: Rong-Rong Chen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2005 Type: published Y: 2005 Identifiers: – Type: issn-print Value: 10709908 Numbering: – Type: volume Value: 12 – Type: issue Value: 10 Titles: – TitleFull: IEEE Signal Processing Letters Type: main |
| ResultId | 1 |
