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Support Vector Machine Multiuser Receiver for DS-CDMA Signals in Multipath Channels

Chen, S., Samingan, A.K. and Hanzo, L. (2001) Support Vector Machine Multiuser Receiver for DS-CDMA Signals in Multipath Channels IEEE Transactions on Neural Networks, 12, (3), pp. 604-611.

Record type: Article


The problem of constructing an adaptive multiuser detector (MUD) is considered for direct-sequence code-division multiple-access (DS-CDMA) signals transmitted through multipath channels. The emerging learning technique, called support vector machines (SVM), is proposed as a method of obtaining a nonlinear MUD from a relatively small training data block. Computer simulation is used to study this SVM MUD, and the results show that it can closely match the performance of the optimal Bayesian one-shot detector. Comparisons with an adaptive radial basis function (RBF) MUD trained by an unsupervised clustering algorithm are discussed.

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Published date: May 2001
Additional Information: submitted in May 2000, revised in Oct. 2000, accepted in Feb. 2001
Organisations: Southampton Wireless Group


Local EPrints ID: 252988
PURE UUID: fbcb558a-5320-4c8a-84a0-eb31176eb726

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Date deposited: 17 Dec 2003
Last modified: 18 Jul 2017 10:00

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

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