NDLI: Design of Adaptive Channel Equaliser on Neural Framework Using Fuzzy Logic Based Multilevel Sigmoid Slope Adaptation

Content Provider	IEEE Xplore Digital Library
Author	Das, S.
Copyright Year	2008
Description	Author affiliation: Nat. Inst. of Technol., Rourkela (Das, S.)
Abstract	Adaptive equalisation in digital communication systems is a process of compensating the disruptive effects caused mainly by inter symbol interference in a band-limited channel and plays a vital role for enabling higher data rate in modern digital communication system. Designing efficient equalisers having low structural complexity and faster learning algorithms is also an area of much research interest in the present scenario. This research work proposes adaptive channel equalisation techniques on Recurrent Neural Network framework. Exhaustive simulation studies carried out prove that by replacing the conventional sigmoid activation functions in each of the processing nodes of recurrent neural network with multilevel sigmoid activation functions, the bit error rate performance have significantly improved. Further slopes of different levels of the multi-level sigmoid have been adapted using fuzzy logic control concept Simulation results cosidering standard channel models show faster learning with less number of training samples and performance level comparable to the their conventional counterparts. Also there is scope for parallel implementation of slope adaptation technique in real-time implementation.
Starting Page	274
Ending Page	278
File Size	2772578
Page Count	5
File Format	PDF
ISBN	9781424419234
DOI	10.1109/ICSCN.2008.4447203
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-01-04
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Recurrent neural networks Nonlinear distortion Signal processing algorithms Artificial neural networks Interference Adaptive equalizers Digital communication Decision feedback equalizers Neurofeedback
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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