The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 32-544
Full Name: Ravi Kumar Jatoth
Position: Lecturer
Age: ON
Sex: Male
Address: Department of ECE, National Institute of Technology-Warangal
Country: INDIA
Tel: 9490853570
Tel prefix: +91
Fax: +91-870-2459547
E-mail address: ravikumar@nitw.ac.in
Other E-mails: jrk.nitw@gmail.com
Title of the Paper: Non-Linear Channel Equalization using Intelligent Functional Link Artificial Neural Network
Authors as they appear in the Paper: Ravi Kumar Jatoth M S B Saithej Vaddadi Saladi S V K K Anoop
Email addresses of all the authors: ravikumar@nitw.ac.in, saithej@gmail.com saladianoop@gmail.com
Number of paper pages: 10
Abstract: Channel Equalization, solution for one of the classical signal processing problems, is the process of compensation for the effect of physical presence of the channel between the transmitter and the receiver. Practically all channels are non-linear and so there is necessity for non-linear channel equalization. Artificial Neural Network models are more preferable as equalizers because of their capable performance in handling non-linear tasks. In this paper, the functional link artificial neural network(FLANN) model of equalizer is trained with biologically inspired techniques like Standard Genetic Algorithm(SGA) and Particle Swarm Optimization (PSO).The results are thoroughly studied and compared with conventional Least Mean Square (LMS) Algorithm trained FLANN equalizer model and Multi Layer Preceptor network(MLP) based equalizer under the headings like Minimum Mean Square Error(MMSE),computational complexity, convergence time etc. and is shown that Particle Swarm !
Optimization based FLANN equalizer performs better. Comparison between two functional link models - trigonometric and Chebyschev is also done and is shown that Chebyschev performs better than trigonometric FLANN model.
Keywords: Channel Equalization ;Functinal Link Artificial Neural Network;Genetic Algorithm;MultiLayer Perceptron network;Particle Swarm Optimization.
EXTENSION of the file: .pdf
Special (Invited) Session: 8th WSEAS ICSPRA-09, ISBN:978-960-474-054-3, ISSN:1790-5117
Organizer of the Session: Prof Leon Trilling, MIT, Prof D perkins, Harvard University USA
How Did you learn about congress: NIT, Library
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