Extended adaptive RBF equaliser for overcoming co-channel interference

Author

Lee, Ki Yong ; Jung, Souhwan

Author_Institution

Sch. of Electron. Eng., Soongsil Univ., Seoul, South Korea

Volume

34

Issue

16

fYear

1998

fDate

8/6/1998 12:00:00 AM

Firstpage

1567

Lastpage

1568

Abstract

The authors investigate the problem of nonlinear adaptive equalisation in the presence of intersymbol interference, additive white Gaussian noise and co-channel interference. An extended radial basis function (RBF) network is proposed, in which regression weights are used in the output layer and the hidden unit is defined to have the Gaussian formula with the Mahalanobis distance. It is shown by simulation that the proposed structure gives reduced computational complexity without performance degradation, compared to that of the conventional RBF equaliser

Keywords

Gaussian noise; adaptive equalisers; adaptive signal processing; cochannel interference; computational complexity; digital communication; interference suppression; intersymbol interference; neural nets; telecommunication computing; white noise; AWGN; CCI; Gaussian formula; Mahalanobis distance; adaptive RBF equaliser; additive white Gaussian noise; cochannel interference; computational complexity; extended RBF network; intersymbol interference; nonlinear adaptive equalisation; radial basis function network; regression weights;

fLanguage

English

Journal_Title

Electronics Letters

Publisher

iet

ISSN

0013-5194

Type

jour

DOI

10.1049/el:19981107

Filename

707140