Neural-processing-type optical WDM demultiplexer

Author

Aisawa, Shigeki ; Noguchi, Kazuhiro ; Koga, Masafumi ; Matsumoto, Takao ; Amemiya, Yoshihito ; Sugita, Akio

Author_Institution

NTT Transmission Syst. Labs., Kanagawa, Japan

Volume

11

Issue

12

fYear

1993

fDate

12/1/1993 12:00:00 AM

Firstpage

2130

Lastpage

2139

Abstract

A neural-processing-type optical WDM demultiplexer consisting of a multimode waveguide, a detector array, and an electrical neural network (NN) is described. This demultiplexer regenerates the original signals by recognizing the different speckle patterns of each channel with the pattern-recognition function of an NN. The demultiplexing properties can be flexibly changed, in the electrical domain, by modifying the parameters of the NN, and only simple optical components are required for implementation. Three 150-Mb/s WDM signals are successfully demultiplexed with a silica-based multimode planar waveguide, a four-channel detector array, and two high-speed analog neural network integrated circuits (ANNIC´s), each of which has sixteen modifiable weights and four sigmoidal transfer functions

Keywords

demultiplexing equipment; linear integrated circuits; neural chips; optical communication equipment; optical waveguides; wavelength division multiplexing; 150 Mbit/s; WDM signals; analog neural network integrated circuits; detector array; electrical neural network; modifiable weights; multimode waveguide; neural processing demultiplexer; optical WDM demultiplexer; optical components; pattern recognition; sigmoidal transfer functions; signal regeneration; silica; speckle patterns; Adaptive optics; High speed optical techniques; Neural networks; Optical arrays; Optical computing; Optical fiber networks; Optical waveguides; Repeaters; Sensor arrays; Wavelength division multiplexing;

fLanguage

English

Journal_Title

Lightwave Technology, Journal of

Publisher

ieee

ISSN

0733-8724

Type

jour

DOI

10.1109/50.257980

Filename

257980