Support vector machine multiuser receiver for DS-CDMA signals in multipath channels

S Chen; A K Samingan; L Hanzo

doi:10.1109/72.925563

Support vector machine multiuser receiver for DS-CDMA signals in multipath channels

IEEE Trans Neural Netw. 2001;12(3):604-11. doi: 10.1109/72.925563.

Authors

S Chen¹, A K Samingan, L Hanzo

Affiliation

¹ Department of Electronics and Computer Science, University of Southampton, Highfield, Southampton SO17 1BJ, UK. [email protected]

PMID: 18249893
DOI: 10.1109/72.925563

Abstract

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.