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Adaptive Multiuser Receiver Using a Support Vector Machine Technique

Adaptive Multiuser Receiver Using a Support Vector Machine Technique
Adaptive Multiuser Receiver Using a Support Vector Machine Technique
The paper investigates the application of an emerging learning technique, called support vector machines (SVMs), to construct an adaptive nonlinear multiuser detector (MUD) for direct-sequence code-division multiple-access (DS-CDMA) signals transmitted through multipath channels. Computer simulation is used to study this adaptive SVM MUD, and the results show that it can closely match the performance of the optimal Bayesian one-shot detector, using a relatively small training data block.
604-608
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Samingan, A.K.
16b3f372-cc0c-473e-b345-6807442f9fb0
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Samingan, A.K.
16b3f372-cc0c-473e-b345-6807442f9fb0
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Chen, S., Samingan, A.K. and Hanzo, L. (2001) Adaptive Multiuser Receiver Using a Support Vector Machine Technique. VTC'2001 (Spring), , Rhodes, Greece. 06 - 09 May 2001. pp. 604-608 .

Record type: Conference or Workshop Item (Paper)

Abstract

The paper investigates the application of an emerging learning technique, called support vector machines (SVMs), to construct an adaptive nonlinear multiuser detector (MUD) for direct-sequence code-division multiple-access (DS-CDMA) signals transmitted through multipath channels. Computer simulation is used to study this adaptive SVM MUD, and the results show that it can closely match the performance of the optimal Bayesian one-shot detector, using a relatively small training data block.

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More information

Published date: May 2001
Additional Information: Presented at IEEE Semiannual Vehicular Technology Conference VTC2001 Spring (Rhodes, Greece), May 6-9, 2001 Event Dates: 6-9 May 2001
Venue - Dates: VTC'2001 (Spring), , Rhodes, Greece, 2001-05-06 - 2001-05-09
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 254134
URI: http://eprints.soton.ac.uk/id/eprint/254134
PURE UUID: b74f9027-499a-4905-a7e8-56333b88ab77
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 17 Dec 2003
Last modified: 18 Mar 2024 02:33

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Contributors

Author: S. Chen
Author: A.K. Samingan
Author: L. Hanzo ORCID iD

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