Performance Evaluation of GAP-RBF Network in Channel Equalization

Authors:
Ming-Bin Li;Guang-Bin Huang;P. Saratchandran;N. Sundararajan
Affiliations:
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore 639798;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore 639798;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore 639798;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore 639798
Venue:
Neural Processing Letters
Year:
2005

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Abstract

A Growing and Pruning Radial Basis Function (GAP-RBF) network has been recently proposed by Huang et al. [IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, 34(6) (2004), 2284---2292]. However, its performance in signal processing areas is not clear yet. In this paper, GAP-RBF network is used for solving the communication channel equalization problem. The simulation results demonstrate that GAP-RBF equalizer outperforms other equalizers such as recurrent neural network and MRAN on linear and nonlinear channel model in terms of bit error rate.