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

doi:10.1117/12.970274

7 November 2012 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

Proceedings Volume 8421, OFS2012 22nd International Conference on Optical Fiber Sensors; 84218N (2012) https://doi.org/10.1117/12.970274
Event: OFS2012 22nd International Conference on Optical Fiber Sensor, 2012, Beijing, China

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.

Citation Download Citation

Yu-Lung Lo, Chih-Chung Yen, Yi-Fan Chung, Huan-Hsu Lin, and Ren-Young Liu "Design in depolarized FOGs using effective model and genetic algorithm", Proc. SPIE 8421, OFS2012 22nd International Conference on Optical Fiber Sensors, 84218N (7 November 2012); https://doi.org/10.1117/12.970274

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KEYWORDS

Fiber optic gyroscopes

Phase modulation

Genetic algorithms

Error analysis

Mathematical modeling

Polarization

Computer simulations

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