A radial basis function equalizer for optical fiber communications systems

Author

Wang, Wei

Author_Institution

Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland Baltimore County, MD, USA

Volume

5

fYear

2004

fDate

17-21 May 2004

Abstract

A radial basis function (RBF) equalizer is introduced for mitigation of intersymbol interference in optical communications systems. It is shown that prior information on the noise and channel characteristics can be incorporated effectively into the structure of an RBF equalizer. A training algorithm for tracking time varying statistics of the input is presented and the proposed equalizer is applied for mitigation of polarization mode dispersion in an optical communications channel with dominating amplified spontaneous emission noise.

Keywords

equalisers; interference suppression; intersymbol interference; learning (artificial intelligence); optical fibre communication; optical fibre dispersion; optical fibre polarisation; optical noise; radial basis function networks; random noise; statistical analysis; telecommunication computing; amplified spontaneous emission noise; characteristics; intersymbol interference mitigation; neural network techniques; noise; optical communications systems; optical fiber communications systems; polarization mode dispersion; prior information; radial basis function equalizer; time varying statistics; training algorithm; Equalizers; Fiber nonlinear optics; Intersymbol interference; Optical distortion; Optical fiber communication; Optical fiber polarization; Optical fibers; Optical noise; Optical receivers; Polarization mode dispersion;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1327204

Filename

1327204