Nonlinear channel equalization for wireless communication systems using Legendre neural networks

Authors:
Jagdish C. Patra;Pramod K. Meher;Goutam Chakraborty
Affiliations:
School of Computer Engineering, Nanyang Technological University, Singapore;Department of Communication Systems, Institute for Infocomm Research, Singapore;Department of Software and Information Science, Iwate Prefectural University, Japan
Venue:
Signal Processing
Year:
2009

Citing 15
Cited 4

Adaptive pattern recognition and neural networks

Adaptive pattern recognition and neural networks
A functional link artificial neural network for adaptive channel equalization

Signal Processing
Adaptive filter theory (3rd ed.)

Adaptive filter theory (3rd ed.)
A channel equalizer using reduced decision feedback Chebyshev functional link artificial neural networks

Information Sciences: an International Journal
Functional link neural network cascaded with Chebyshev orthogonal polynomial for nonlinear channel equalization

Signal Processing
Communication Systems

Communication Systems
The application of nonlinear structures to the reconstruction ofbinary signals

IEEE Transactions on Signal Processing
Nonlinear channel equalization for QAM signal constellation usingartificial neural networks

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control

IEEE Transactions on Fuzzy Systems
Functional-link net computing: theory, system architecture, and functionalities

Computer
Communication channel equalization using complex-valued minimal radial basis function neural networks

IEEE Transactions on Neural Networks
Decision feedback recurrent neural equalization with fast convergence rate

IEEE Transactions on Neural Networks
A clustering technique for digital communications channel equalization using radial basis function networks

IEEE Transactions on Neural Networks
Using recurrent neural networks for adaptive communication channel equalization

IEEE Transactions on Neural Networks
A perceptron network for functional identification and control of nonlinear systems

IEEE Transactions on Neural Networks

Application of functional link artificial neural network for prediction of machinery noise in opencast mines

Advances in Fuzzy Systems
Fluctuation prediction of stock market index by Legendre neural network with random time strength function

Neurocomputing
2012 Special Issue: Orthogonal least squares based complex-valued functional link network

Neural Networks
Review: Advances in active noise control: A survey, with emphasis on recent nonlinear techniques

Signal Processing

Quantified Score

Hi-index	0.08

Visualization

Abstract

In this paper, we present a computationally efficient neural network (NN) for equalization of nonlinear communication channels with 4-QAM signal constellation. The functional link NN (FLANN) for nonlinear channel equalization which we had proposed earlier, offers faster mean square error (MSE) convergence and better bit error rate (BER) performance compared to multilayer perceptron (MLP). Here, we propose a Legendre NN (LeNN) model whose performance is better than the FLANN due to simple polynomial expansion of the input in contrast to the trigonometric expansion in the latter. We have compared the performance of LeNN-, FLANN- and MLP-based equalizers using several performance criteria and shown that the performance of LeNN is superior to that of MLP-based equalizer, in terms of MSE convergence rate, BER and computational complexity, especially, in case of highly nonlinear channels. LeNN-based equalizer has similar performance as FLANN in terms of BER and convergence rate but it provides significant computational advantage over the FLANN since the evaluation of Legendre functions involves less computation compared to trigonometric functions.