A Bilinear Neural Adaptive Equalizer for Chaos-Based Communication Channel

Author

Zhao, Haiquan ; Xie, Mingyuan ; Zeng, Xiangping

Author_Institution

Dept.of Electron. Eng., Chengdu Univ. of Inf. Technol.

Volume

1

fYear

2006

fDate

16-20 2006

Abstract

Based on analysis of Volterra series filter, combing characteristic of single layer neural network, and extending bilinear filter´s structure, a bilinear neural network equalizer is studied in this paper for chaos-based communication systems, and adaptive algorithm is deduced by the NLMS. Computer simulations show that BilinearNN equalizer can availably remove nonlinear´s distortions and ISI, and better performance also gets obviously improvement no matter what linear channel or nonlinear channel

Keywords

Volterra series; adaptive equalisers; chaotic communication; neural nets; nonlinear distortion; nonlinear filters; telecommunication channels; telecommunication computing; Volterra series filter; bilinear neural adaptive equalizer; chaos-based communication channel; computer simulations; nonlinear channel; nonlinear distortions; single layer neural network; Adaptive algorithm; Adaptive equalizers; Adaptive filters; Algorithm design and analysis; Chaotic communication; Communication channels; Computer simulation; Intersymbol interference; Neural networks; Nonlinear distortion;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2006 8th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9736-3

Electronic_ISBN

0-7803-9736-3

Type

conf

DOI

10.1109/ICOSP.2006.344512

Filename

4128848