Title :
A radial basis function equalizer for optical fiber communications systems
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland Baltimore County, MD, USA
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1327204
