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