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
April 2002
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.
28 Apr - 02 May 2002.
.
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.
Text
sqc-lh-May02-ICC02.pdf
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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, 2002-04-28 - 2002-05-02
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
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Date deposited: 02 Dec 2003
Last modified: 18 Mar 2024 02:33
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Contributors
Author:
S. Chen
Author:
L. Hanzo
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