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
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