Design in depolarized fogs using effective model and genetic algorithm

Yu Lung Lo, Chih Chung Yen, Yi Fan Chung, Huan Hsu Lin, Ren Young Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study combines the methods of the Stokes parameters and genetic algorithm (GA) with the mathematical model in the depolarized fiber optic gyroscope (FOG) for finding the optimal structure of FOG. An effective model to simulate a SM fiber coil and genetic algorithm for finding minimum bias errors are proposed for solving the problems of polarization errors and signal-fading in the depolarized FOG. As a result of analysis in model, the minimum bias error can be found as 4.4×10-5°/hour with 1000 m in length of the fiber coil. As the authors' knowledge, this is the first idea in simulating the effective parameters of a SM fiber coil and using GA in finding the optimal structure for the depolarized fiber optic gyroscope.

Original languageEnglish
Title of host publication22nd International Conference on Optical Fiber Sensors
DOIs
Publication statusPublished - 2012 Dec 1
Event22nd International Conference on Optical Fiber Sensors - Beijing, China
Duration: 2012 Oct 152012 Oct 19

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8421
ISSN (Print)0277-786X

Other

Other22nd International Conference on Optical Fiber Sensors
CountryChina
CityBeijing
Period12-10-1512-10-19

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All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Lo, Y. L., Yen, C. C., Chung, Y. F., Lin, H. H., & Liu, R. Y. (2012). Design in depolarized fogs using effective model and genetic algorithm. In 22nd International Conference on Optical Fiber Sensors [84218N] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8421). https://doi.org/10.1117/12.970274