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	Experimental study on random error modeling for fiber optic gyros
	Fang Jing ; Shang Jie ; Gu Qi-tai
	2010-10-12 ; 2010-10-12
关键词	Theoretical or Mathematical Experimental/ autoregressive moving average processes data acquisition fibre optic gyroscopes Kalman filters/ random error modeling VG941-3AM micro precision fiber optic gyros data acquisition stationarity test least-autocorrelation principle ARMA models Kalman filter/ B7230E Fibre optic sensors B7210G Data acquisition systems B0240Z Other topics in statistics
中文摘要	In order to improve the precision of fiber optic gyro (FOG), the random error model of FOG should be established accurately. VG941-3AM micro precision fiber optic gyros were chosen as experimental subjects. Data acquisition, pretreatment and stationarity test were carried out. Based on the least-autocorrelation principle of residual sequence, the least-autocorrelation (LAC) criterion and its recursive algorithm were applied to the identification of random error models of gyros. The state equation and observation equation of the ARMA models were established, and Kalman filter was designed. The experimental results proved the validity and veracity of the algorithm. The random error of fiber optic gyros using the above method was reduced by 95 ~ 97%.
语种	中文
出版者	Southeast University ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/80300]
专题	清华大学
推荐引用方式 GB/T 7714	Fang Jing,Shang Jie,Gu Qi-tai. Experimental study on random error modeling for fiber optic gyros[J],2010, 2010.
APA	Fang Jing,Shang Jie,&Gu Qi-tai.(2010).Experimental study on random error modeling for fiber optic gyros..
MLA	Fang Jing,et al."Experimental study on random error modeling for fiber optic gyros".(2010).

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