Cart (Loading....) | Create Account
Close category search window
 

Fuzzy Neural Network Blind Equalization Algorithm Based on Radial Basis Function

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Liu Zhen-xing ; Anhui Univ. of Sci. & Technol., Huainan, China ; Ye-Cai Guo ; Gao Min ; Xue-qing Zhao
more authors

Radial Basis Function (RBF) networks have simple network structures and fast convergence speed. In this paper, we propose a fuzzy neural network blind equalization algorithm based on radial basis function (FNN-RBF-BLE). The proposed algorithm defines the centers of RBF equalizer by analyzing the relationship of the input signal of equalizer and transmitted signal, therefore the structures of equalizer become simpler and the convergence speed become faster. Then, we use the fuzzy C-means clustering algorithm (FCM) divide the input signal of equalizer into each cluster center with different membership values and the mean square error (MSE) is reduced. The performance of the proposed algorithm is compared with blind equalization algorithm based on RBF (RBF-BLE). It is shown that a relatively low mean square error and fast convergence speed has been achieved.

Published in:

Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on  (Volume:1 )

Date of Conference:

26-27 Aug. 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.