Support vector machine multiuser receiver for DS-CDMA signals in multipath channels.
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.
Chen
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S
Department of Electronics and Computer Science, University of Southampton, Highfield, Southampton SO17 1BJ, UK. sqc@ecs.soton.ac.uk
Samingan
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AK
Hanzo
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