A neural network based adaptive correlator in DS/SS mobile communication system

Author

Weng, Jianfeng ; Bi, Guangguo

Author_Institution

Dept. of Radio Eng., Southeast Univ., Nanjing, China

Volume

2

fYear

1995

fDate

25-28 Jul 1995

Firstpage

679

Abstract

A neural network adaptive correlator (NNAC) based on the complex multilayer perceptron (CMLP) is presented for detecting the received signals in CDMA DS/SS mobile communication system and a new complex algorithm, called the complex recursive least square with backpropagated errors, is derived which provides faster convergence rate and better performance than those of the complex BP algorithm. Computer simulation results show that the NNAC has lower bit error probability than that of the traditional RAKE receiver in the presence of tone, narrowband and cochannel interference (CCI)

Keywords

adaptive signal detection; backpropagation; cochannel interference; code division multiple access; convergence of numerical methods; correlators; error statistics; land mobile radio; least squares approximations; multilayer perceptrons; probability; pseudonoise codes; radiofrequency interference; recursive estimation; spread spectrum communication; CDMA; DS/SS mobile communication system; backpropagated errors; bit error probability; cochannel interference; complex algorithm; complex multilayer perceptron; complex recursive least square; computer simulation results; convergence rate; narrowband interference; neural network adaptive correlator; performance; received signals detection; tone interference; Adaptive signal detection; Adaptive systems; Correlators; Least squares methods; Mobile communication; Multi-layer neural network; Multiaccess communication; Multilayer perceptrons; Neural networks; Signal detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 1995 IEEE 45th

Conference_Location

Chicago, IL

ISSN

1090-3038

Print_ISBN

0-7803-2742-X

Type

conf

DOI

10.1109/VETEC.1995.504954

Filename

504954