+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Adaptively combined FIR and functional link artificial neural network equalizer for nonlinear communication channel



Adaptively combined FIR and functional link artificial neural network equalizer for nonlinear communication channel



IEEE Transactions on Neural Networks 20(4): 665-674



This paper proposes a novel computational efficient adaptive nonlinear equalizer based on combination of finite impulse response (FIR) filter and functional link artificial neural network (CFFLANN) to compensate linear and nonlinear distortions in nonlinear communication channel. This convex nonlinear combination results in improving the speed while retaining the lower steady-state error. In addition, since the CFFLANN needs not the hidden layers, which exist in conventional neural-network-based equalizers, it exhibits a simpler structure than the traditional neural networks (NNs) and can require less computational burden during the training mode. Moreover, appropriate adaptation algorithm for the proposed equalizer is derived by the modified least mean square (MLMS). Results obtained from the simulations clearly show that the proposed equalizer using the MLMS algorithm can availably eliminate various intensity linear and nonlinear distortions, and be provided with better anti-jamming performance. Furthermore, comparisons of the mean squared error (MSE), the bit error rate (BER), and the effect of eigenvalue ratio (EVR) of input correlation matrix are presented.

Please choose payment method:






(PDF emailed within 0-6 h: $19.90)

Accession: 051370647

Download citation: RISBibTeXText

PMID: 19244019

DOI: 10.1109/tnn.2008.2011481


Related references

A novel joint-processing adaptive nonlinear equalizer using a modular recurrent neural network for chaotic communication systems. Neural Networks 24(1): 12-18, 2011

A functional link artificial neural network for adaptive channel equalization. Signal Processing 43(2): 181-195, 1995

Nonlinear dynamic system identification using pipelined functional link artificial recurrent neural network. Neurocomputing 72(13-15): 3046-3054, 2009

Pipelined chebyshev functional link artificial recurrent neural network for nonlinear adaptive filter. IEEE Transactions on Systems Man and Cybernetics. Part B Cybernetics 40(1): 162-172, 2010

Functional link neural network cascaded with Chebyshev orthogonal polynomial for nonlinear channel equalization. Signal Processing 88(8): 1946-1957, 2008

Identification of nonlinear dynamic systems using functional link artificial neural networks. IEEE Transactions on Systems Man and Cybernetics. Part B Cybernetics 29(2): 254-262, 1999

Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks. IEEE Transactions on Systems Man and Cybernetics. Part B Cybernetics 32(4): 505-511, 2002

Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand; forecasting in Montreal, Canada. Water Resources Research 48.1, 2012

Identification of Hammerstein model using functional link artificial neural network. Neurocomputing 142: 419-428, 2014

Recursive Adaptive Sparse Exponential Functional Link Neural Network for Nonlinear AEC in Impulsive Noise Environment. IEEE Transactions on Neural Networks and Learning Systems 29(9): 4314-4323, 2018

Simulation of food intake dynamics of holometabolous insect using functional link artificial neural network. Stochastic Environmental Research and Risk Assessment 22(1): 123-133, 2008

Gaussian kernel-aided deep neural network equalizer utilized in underwater PAM8 visible light communication system. Optics Express 26(20): 26700-26712, 2018

Teaching learning based optimization-functional link artificial neural network filter for mixed noise reduction from magnetic resonance image. Bio-Medical Materials and Engineering 28(6): 643-654, 2017

Neural spike sorting under nearly 0-dB signal-to-noise ratio using nonlinear energy operator and artificial neural-network classifier. IEEE Transactions on Bio-Medical Engineering 47(10): 1406-1411, 2000

Removal of EOG and EMG artifacts from EEG using combination of functional link neural network and adaptive neural fuzzy inference system. Neurocomputing 151: 278-287, 2015