DocumentCode :
507945
Title :
An Adaptive Multi-user Detection Algorithm Based on Forward Neural Network
Author :
Ting, Liu ; Bin, Wang ; Lei, Chen ; Yunshan, Sun ; Liyi, Zhang
Author_Institution :
Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
Volume :
2
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
31
Lastpage :
34
Abstract :
Neural network has some characteristics like self-study, adaptation, better fault tolerance, which make it widely used in dealing with un-linear dynamic problem. An improved multi-user detection algorithm based on three-layer forward neural network was proposed, the transfer function was adopted, and the iteration equation was deduced. The computer simulations show that the proposed algorithm has faster convergence rate and smaller bit error rate.
Keywords :
fault tolerance; iterative methods; multiuser detection; neural nets; transfer functions; adaptive multiuser detection; fault tolerance; iteration equation; three-layer forward neural network; transfer function; unlinear dynamic problem; AWGN; Additive white noise; Detectors; Gaussian noise; Mean square error methods; Multiaccess communication; Multiple access interference; Multiuser detection; Neural networks; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.596
Filename :
5364133
Link To Document :
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