DocumentCode
731598
Title
Modeling and filter algorithm analysis of all-optical atomic spin gyroscope´s random drift
Author
Sheng Zou ; Hong Zhang ; Xiyuan Chen
Author_Institution
Dept. of Instrum. Sci. & Eng., Southeast Univ., Nanjing, China
fYear
2015
fDate
4-5 June 2015
Firstpage
367
Lastpage
371
Abstract
ARMA model is set up by using AIC method for all-optical atomic spin gyroscope´s random drift. The model is proven effective by the residual errors analysis. On the basis of the ARMA model, the results of conventional kalman filter, R-correction kalman filter, r-correction kalman filter and R-r correction kalman filter for analyzing gyroscope´s random drift have been compared in this paper. The results of actual datum analysis showed that R-correction kalman filter algorithm and R-r correction kalman filter algorithm performed better than others under high dynamic environment, conventional kalman filter algorithm performs better than others under low dynamic environment.
Keywords
Kalman filters; gyroscopes; AIC method; R-correction kalman filter; R-r correction kalman filter; all-optical atomic spin gyroscope random drift; filter algorithm analysis; high dynamic environment; low dynamic environment; r-correction kalman filter; residual errors analysis; Algorithm design and analysis; Correlation; Data models; Gyroscopes; Heuristic algorithms; Kalman filters; ARMA; All-optica Atomic Spin Gyroscope; Dynamic Environment; Kalman Filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Metrology for Aerospace (MetroAeroSpace), 2015 IEEE
Conference_Location
Benevento
Type
conf
DOI
10.1109/MetroAeroSpace.2015.7180684
Filename
7180684
Link To Document