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 :
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