A COMPACT NEURAL-NETWORK-BASED CDMA RECEIVER

Authors
CHEN DC SHEU BJ
Citation
Dc. Chen et Bj. Sheu, A COMPACT NEURAL-NETWORK-BASED CDMA RECEIVER, IEEE transactions on circuits and systems. 2, Analog and digital signal processing, 45(3), 1998, pp. 384-387
Citations number
8
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEEE transactions on circuits and systems. 2, Analog and digital signal processing → ACNP
ISSN journal
10577130
Volume
45
Issue
3
Year of publication
1998
Pages
384 - 387
Database
ISI
SICI code
1057-7130(1998)45:3<384:ACNCR>2.0.ZU;2-B
Abstract
A compact neural-network receiver for code-division multiple-access (C DMA) communication is presented, In the CDMA scheme, the near-far prob lem is a major impediment for the performance of a conventional detect or (CD). By using a compact neural network with hardware annealing fun ction and gradient-descent optimization technique, an optimal multiuse r receiver can be implemented, The algorithm and simulation results of the compact neural-network-based CDMA receiver are described in this brief.