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A phase modulation method for improving the scale factor stability of fiber-optic gyroscope

  • Shitong Chen*
  • , Jianhua Cheng
  • , Wei Gao
  • *Corresponding author for this work
  • Harbin Engineering University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The usual scheme of Fiber-Optic Gyroscope(FOG) is digital single closed-loop ,but the scale factor stability is affected by the variation of half-wave voltage of 3 LiNbO3 integrated optic phase modulator .The half-wave voltage changes with the variation of the integrated optic phase modulator performance dependence on temperature and the bias voltage applied to the phase modulator .In order to improve the scale factor stability , double closed-loop scheme of FOG with square wave bias modulation is used to compensate the the variation of half-wave voltage ,but it is inefficient at low rates. The double closed-loop scheme of FOG with " four-bias-state" bias modulation is used to improve the compensation efficiency and SNR , and the bias modulation equations are presented here. The scale factor stability of the new scheme is improved about by one time than the usual scheme . Index Terms -scale factor stability, half-wave voltage, fourbias- state, integrated optic phase modulator.

Original languageEnglish
Title of host publicationProceedings of 2008 IEEE International Conference on Mechatronics and Automation, ICMA 2008
Pages37-42
Number of pages6
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 IEEE International Conference on Mechatronics and Automation, ICMA 2008 - Takamatsu, Japan
Duration: 5 Aug 20088 Aug 2008

Publication series

NameProceedings of 2008 IEEE International Conference on Mechatronics and Automation, ICMA 2008

Conference

Conference2008 IEEE International Conference on Mechatronics and Automation, ICMA 2008
Country/TerritoryJapan
CityTakamatsu
Period5/08/088/08/08

Keywords

  • Fourbias
  • Half-wave voltage
  • Integrated optic phase modulator.
  • Scale factor stability
  • State
  • Terms

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