DocumentCode :
286887
Title :
Adaptive artificial neural network algorithms for MCD applications
Author :
Coloma, J. ; Corden, I.R. ; Carrasco, R.A.
Author_Institution :
Dept. of Electr. & Electron. Eng., Staffordshire Polytech., Beaconside, UK
fYear :
1991
fDate :
33564
Firstpage :
42614
Lastpage :
42621
Abstract :
The MCD (multi-carrier demodulator) has gained interest recently for use in both the aviation and satellite onboard processing contexts, where multiplex format conversions are required. Some experiments indicate that the Rician fading channel is well suited to describe the mobile-satellite channel behaviour. A model for implementing a Rician fading channel is presented. The need for an equaliser in the receiver is addressed and the algorithms: decision feedback equaliser (DFE), perceptron-based decision feedback equaliser (PBDFE), and sigma-pi perceptron feedback equaliser (SPPFE), are described. Results to compare the performance of the three algorithms are also included
Keywords :
adaptive systems; demodulation; equalisers; fading; neural nets; telecommunication channels; Rician fading channel; adaptive neural network algorithms; decision feedback equaliser; mobile-satellite channel; multi-carrier demodulator; perceptron-based decision feedback equaliser; sigma-pi perceptron feedback equaliser;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Adaptive Filtering, Non-Linear Dynamics and Neural Networks, IEE Colloquium on
Conference_Location :
London
Type :
conf
Filename :
263736
Link To Document :
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