A complex valued radial basis function network for equalization of fast time varying channels

Author

Gan, Q. ; Saratchandran, P. ; Sundararajan, N. ; Subramanian, K.R.

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore

Volume

10

Issue

4

fYear

1999

fDate

7/1/1999 12:00:00 AM

Firstpage

958

Lastpage

960

Abstract

This paper presents a complex valued radial basis function (RBF) network for equalization of fast time varying channels. A new method for calculating the centers of the RBF network is given. The method allows fixing the number of RBF centers even as the equalizer order is increased so that a good performance is obtained by a high-order RBF equalizer with small number of centers. Simulations are performed on time varying channels using a Rayleigh fading channel model to compare the performance of our RBF with an adaptive maximum-likelihood sequence estimator (MLSE) consisting of a channel estimator and a MLSE implemented by the Viterbi algorithm. The results show that the RBF equalizer produces superior performance with less computational complexity

Keywords

Rayleigh channels; Viterbi detection; adaptive equalisers; digital communication; maximum likelihood estimation; radial basis function networks; time-varying channels; Rayleigh fading channel; Viterbi algorithm; channel equalization; digital communication; fast time varying channels; maximum-likelihood sequence estimator; radial basis function network; time varying channels; Adaptive equalizers; Additive white noise; Decision feedback equalizers; Delay estimation; Detectors; Fading; Maximum likelihood detection; Maximum likelihood estimation; Radial basis function networks; Viterbi algorithm;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/72.774271

Filename

774271