Performance evaluation of channel equalization by using MNN Rayleigh fading channel

Author

SivaKumar, P. ; Chitra, N. ; Rajaram, M. ; Sivanandam, S.N.

Author_Institution

ANNA Univ., Chennai, India

Volume

4

fYear

2011

fDate

8-10 April 2011

Firstpage

47

Lastpage

51

Abstract

Forward neural network architecture with optimum number of nodes is used to achieve adaptive channel equalization. In this architecture, summation at each node is replaced by multiplications which result in powerful mapping. The equalizer is tested on Rayleigh fading channel with a BPSK signal. Performance of the equalizer is evaluated and compared with RRBF. Results show that proposed equalizer provides simplified architecture and improvement in the bit error rate at various levels of signal to noise ratio for Rayleigh faded channel.

Keywords

Rayleigh channels; channel estimation; neural nets; phase shift keying; telecommunication computing; BPSK signal; MNN Rayleigh fading channel; adaptive channel equalization; forward neural network architecture; Adaptive equalizers; Artificial neural networks; Binary phase shift keying; Fading; Finite impulse response filter; Neurons; BPSK; Channel equalization; Multiplicative neural network (MNN); Raylegh fading;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics Computer Technology (ICECT), 2011 3rd International Conference on

Conference_Location

Kanyakumari

Print_ISBN

978-1-4244-8678-6

Electronic_ISBN

978-1-4244-8679-3

Type

conf

DOI

10.1109/ICECTECH.2011.5941854

Filename

5941854