Title :
Design for centres of RBF neural networks for fast time-varying channel equalisation
Author :
Gan, Qiaoqiang ; Subramanian, Ramanathan ; Sundararajan, N. ; Saratchandran, P.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst.
fDate :
12/5/1996 12:00:00 AM
Abstract :
A radial basis function (RBF) neural network combined with a channel estimator, is used for fast time-varying channel equalisation. A new method for calculating RBF centres and weights is proposed to reduce the number of hidden units in the high-order RBF equaliser. A Rayleigh fading channel model and 10 million random symbols are used in the simulation studies. Very good equalisation performance is achieved by using a high-order RBF network with only eight centres
Keywords :
Rayleigh channels; equalisers; fading; neural nets; signal processing; time-varying channels; RBF neural networks; RBF weights calculation; Rayleigh fading channel model; channel estimator; fast time-varying channel equalisation; high-order RBF equaliser; radial basis function;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19961552
