MBER Space-Time Decision Feedback Equalization Assisted Multiuser Detection for Multiple Antenna Aided SDMA Systems.
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| Názov: | MBER Space-Time Decision Feedback Equalization Assisted Multiuser Detection for Multiple Antenna Aided SDMA Systems. |
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| Autori: | Sheng Chen, Hanzo, Lajos, Livingstone, Andrew |
| Zdroj: | IEEE Transactions on Signal Processing; Aug2006, Vol. 54 Issue 8, p3090-3098, 9p, 3 Black and White Photographs, 1 Diagram, 1 Chart, 4 Graphs |
| Predmety: | FEEDBACK control systems, ANTENNA arrays, SENSOR networks, INFORMATION measurement, MATHEMATICAL transformations, MATHEMATICAL analysis, MACHINE theory |
| Abstrakt: | This paper proposes a space-time decision feedback equalization (ST-DFE) assisted multiuser detection (MUD) scheme for multiple receiver antenna aided space division multiple access systems. A minimum bit error rate (MBER) design is invoked for the MUD, which is shown to be capable of improving the achievable bit error rate performance and enhancing the attainable system capacity over that of the standard minimum mean square error (MMSE) design. An adaptive implementation of the MBER ST-DFE assisted MUD is proposed using a stochastic gradient-based least bit error rate algorithm, which is demonstrated to consistently outperform the classical least mean square (LMS) algorithm, while achieving a lower computational complexity than the LMS algorithm for the binary signalling scheme. Our simulation results demonstrate that the MBER ST-DFE assisted MUD is more robust to channel estimation errors as well as to potential error propagation imposed by decision feedback errors, compared to the MMSE ST-DFE assisted MUD. [ABSTRACT FROM AUTHOR] |
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| Databáza: | Complementary Index |
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| Header | DbId: edb DbLabel: Complementary Index An: 21847425 RelevancyScore: 833 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 832.634216308594 |
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| Items | – Name: Title Label: Title Group: Ti Data: MBER Space-Time Decision Feedback Equalization Assisted Multiuser Detection for Multiple Antenna Aided SDMA Systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sheng+Chen%22">Sheng Chen</searchLink><br /><searchLink fieldCode="AR" term="%22Hanzo%2C+Lajos%22">Hanzo, Lajos</searchLink><br /><searchLink fieldCode="AR" term="%22Livingstone%2C+Andrew%22">Livingstone, Andrew</searchLink> – Name: TitleSource Label: Source Group: Src Data: IEEE Transactions on Signal Processing; Aug2006, Vol. 54 Issue 8, p3090-3098, 9p, 3 Black and White Photographs, 1 Diagram, 1 Chart, 4 Graphs – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22FEEDBACK+control+systems%22">FEEDBACK control systems</searchLink><br /><searchLink fieldCode="DE" term="%22ANTENNA+arrays%22">ANTENNA arrays</searchLink><br /><searchLink fieldCode="DE" term="%22SENSOR+networks%22">SENSOR networks</searchLink><br /><searchLink fieldCode="DE" term="%22INFORMATION+measurement%22">INFORMATION measurement</searchLink><br /><searchLink fieldCode="DE" term="%22MATHEMATICAL+transformations%22">MATHEMATICAL transformations</searchLink><br /><searchLink fieldCode="DE" term="%22MATHEMATICAL+analysis%22">MATHEMATICAL analysis</searchLink><br /><searchLink fieldCode="DE" term="%22MACHINE+theory%22">MACHINE theory</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper proposes a space-time decision feedback equalization (ST-DFE) assisted multiuser detection (MUD) scheme for multiple receiver antenna aided space division multiple access systems. A minimum bit error rate (MBER) design is invoked for the MUD, which is shown to be capable of improving the achievable bit error rate performance and enhancing the attainable system capacity over that of the standard minimum mean square error (MMSE) design. An adaptive implementation of the MBER ST-DFE assisted MUD is proposed using a stochastic gradient-based least bit error rate algorithm, which is demonstrated to consistently outperform the classical least mean square (LMS) algorithm, while achieving a lower computational complexity than the LMS algorithm for the binary signalling scheme. Our simulation results demonstrate that the MBER ST-DFE assisted MUD is more robust to channel estimation errors as well as to potential error propagation imposed by decision feedback errors, compared to the MMSE ST-DFE assisted MUD. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Signal Processing 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/TSP.2006.877666 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 3090 Subjects: – SubjectFull: FEEDBACK control systems Type: general – SubjectFull: ANTENNA arrays Type: general – SubjectFull: SENSOR networks Type: general – SubjectFull: INFORMATION measurement Type: general – SubjectFull: MATHEMATICAL transformations Type: general – SubjectFull: MATHEMATICAL analysis Type: general – SubjectFull: MACHINE theory Type: general Titles: – TitleFull: MBER Space-Time Decision Feedback Equalization Assisted Multiuser Detection for Multiple Antenna Aided SDMA Systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sheng Chen – PersonEntity: Name: NameFull: Hanzo, Lajos – PersonEntity: Name: NameFull: Livingstone, Andrew IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2006 Type: published Y: 2006 Identifiers: – Type: issn-print Value: 1053587X Numbering: – Type: volume Value: 54 – Type: issue Value: 8 Titles: – TitleFull: IEEE Transactions on Signal Processing Type: main |
| ResultId | 1 |
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