@inproceedings{e37bc77eaf7343e5b0680306d332bba1,
title = "Modeling and filter algorithm analysis of all-optical atomic spin gyroscope's random drift",
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 = "ARMA, All-optica Atomic Spin Gyroscope, Dynamic Environment, Kalman Filter",
author = "Sheng Zou and Hong Zhang and Xiyuan Chen",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2nd IEEE International Workshop on Metrology for Aerospace, MetroAeroSpace 2015 ; Conference date: 03-06-2015 Through 05-06-2015",
year = "2015",
month = aug,
day = "5",
doi = "10.1109/MetroAeroSpace.2015.7180684",
language = "英语",
series = "2nd IEEE International Workshop on Metrology for Aerospace, MetroAeroSpace 2015 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "367--371",
booktitle = "2nd IEEE International Workshop on Metrology for Aerospace, MetroAeroSpace 2015 - Proceedings",
address = "美国",
}