Support vector machine multiuser receiver for DS-CDMA signals in multipathchannels

Citation
S. Chen et al., Support vector machine multiuser receiver for DS-CDMA signals in multipathchannels, IEEE NEURAL, 12(3), 2001, pp. 604-611
Citations number
38
Language
INGLESE
art.tipo
Article
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
IEEE TRANSACTIONS ON NEURAL NETWORKS
ISSN journal
1045-9227 → ACNP
Volume
12
Issue
3
Year of publication
2001
Pages
604 - 611
Database
ISI
SICI code
1045-9227(200105)12:3<604:SVMMRF>2.0.ZU;2-H
Abstract
The problem of constructing an adaptive multiuser detector (MUD) is conside red for direct sequence code division multiple access (DS-CDMA) signals tra nsmitted through multipath channels. The emerging learning technique, calle d support vector machines (SVMs), is proposed as a method of obtaining a no nlinear MUD from a relatively small training data block. Computer simulatio n is used to study this SVM MUD, and the results show that it can closely m atch the performance of the optimal Bayesian one-shot detector. Comparisons with an adaptive radial basis function (RBF) MUD trained by an unsupervise d clustering algorithm are discussed.