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

Oleh:

Hanzo, L. ; Chen, S. ; Samingan, A. K.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 12 no. 3 (2001), page 604-611.
Topik: CHANNELS; support vector; machine; multiuser; DS - CDMA; multipath; channels

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.5 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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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