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Block-Adaptive Kernel-Based CDMA Multiuser Detector

Block-Adaptive Kernel-Based CDMA Multiuser Detector
Block-Adaptive Kernel-Based CDMA Multiuser Detector
The paper investigates the application of a recently introduced learning technique, called the relevance vector machine (RVM) to construct a block-adaptive kernel-based nonlinear multiuser detector (MUD) for direct-sequence code-division multiple-access (DS-CDMA) signals transmitted through multipath channels. It is demonstrated that the RVM MUD can closely match the performance of the optimal Bayesian one-shot detector, with a much sparser kernel representation than that is achievable by the state-of-art support vector machine (SVM) technique.
682-686
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Chen, S. and Hanzo, L. (2002) Block-Adaptive Kernel-Based CDMA Multiuser Detector. of ICC'02, New York, United States. 27 Apr - 01 May 2002. pp. 682-686 .

Record type: Conference or Workshop Item (Paper)

Abstract

The paper investigates the application of a recently introduced learning technique, called the relevance vector machine (RVM) to construct a block-adaptive kernel-based nonlinear multiuser detector (MUD) for direct-sequence code-division multiple-access (DS-CDMA) signals transmitted through multipath channels. It is demonstrated that the RVM MUD can closely match the performance of the optimal Bayesian one-shot detector, with a much sparser kernel representation than that is achievable by the state-of-art support vector machine (SVM) technique.

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More information

Published date: April 2002
Additional Information: Presented at IEEE International Conference on Communications, Advanced Wireless Communications Systems Symposium Event Dates: 28 April - 2 May 2002 Organisation: IEEE Communications Society
Venue - Dates: of ICC'02, New York, United States, 2002-04-27 - 2002-05-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 256002
URI: http://eprints.soton.ac.uk/id/eprint/256002
PURE UUID: 0d36efed-47d9-4f66-8929-a524a74b6916
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 02 Dec 2003
Last modified: 30 Apr 2020 00:24

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