Allan variance segmented circular fitting method for laser gyroscopes random error analysis

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

Abstract

The curve fitting process is the key process of Allan variance algorithm which is an effective method for laser gyroscope random error analysis. The traditional piecewise regression method leads to the fitting curve shift up because the cross-impact among the five kinds of random errors in Allan variance hasn't been taken into consideration especially in the case of long correlation time, which will leads to the random error characteristic of Laser Gyroscope can't been evaluated accurately. This paper proposes an Allan variance segmented circular fitting method, which improves the accuracy of curve fitting and especially reduces the fitting error in long correlation time. The proposed method is applied to 7-hour experimental static data analysis of laser gyroscopes, and the random error coefficients estimated with modified Allan variance algorithm can converge with better stability.

Original languageEnglish
Title of host publication2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2053-2058
Number of pages6
ISBN (Electronic)9781479946990
DOIs
StatePublished - 12 Jan 2015
Event6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014 - Yantai, China
Duration: 8 Aug 201410 Aug 2014

Publication series

Name2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014

Conference

Conference6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
Country/TerritoryChina
CityYantai
Period8/08/1410/08/14

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