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Using translation invariant discrete wavelet transform to improve bias stability of fiber gyroscope

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

Abstract

The method using translation invariant discrete wavelet transform arithmetic to improve gyroscope bias stability is described. On the basis analyzing the noise characteristic of fiber gyroscope signal, the suitable wavelet vector was selected to extract the noise from signal. The TIDWT, which can avoid the Pseudo-Gibbs phenomena, had be adopted to construct the denosing arithmetic, then the arithmetic was used to filter the real gyroscope signal, the result indicated that the bias stability was improved about 0.6% effectively.

Original languageEnglish
Title of host publication4th International Symposium on Advanced Optical Manufacturing and Testing Technologies
Subtitle of host publicationOptical Test and Measurement Technology and Equipment
DOIs
StatePublished - 2009
Event4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment - Chengdu, China
Duration: 19 Nov 200821 Nov 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7283
ISSN (Print)0277-786X

Conference

Conference4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Country/TerritoryChina
CityChengdu
Period19/11/0821/11/08

Keywords

  • Bias stability
  • Denoising arithmetic
  • Fiber gyroscope
  • TIDWT

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