Identification Method for RLG Random Errors Based on Allan Variance and Equivalent Theorem  

基于Allan方差和等效定理的光纤陀螺随机误差辨识方法(英文)

作　　者：唐江河[1] 付振宪[1] 邓正隆[1] 

机构地区：[1]哈尔滨工业大学

出　　处：《Chinese Journal of Aeronautics》2009年第3期273-278,共6页中国航空学报（英文版）

基　　金：National Basic Research Program of China (JW132006093)

摘　　要：An identification method using Allan variance and equivalent theorem is proposed to identify non-stationary sensor errors mixed out of different simple noises. This method firstly derives the discrete Allan variances of all component noises inherent in noise sources in terms of their different equations; then the variances are used to estimate the parameters of all component noise models; finally, the original errors are represented by the sum of the non-stationary component noise model and the equivalent m...An identification method using Allan variance and equivalent theorem is proposed to identify non-stationary sensor errors mixed out of different simple noises. This method firstly derives the discrete Allan variances of all component noises inherent in noise sources in terms of their different equations; then the variances are used to estimate the parameters of all component noise models; finally, the original errors are represented by the sum of the non-stationary component noise model and the equivalent m...

关 键 词：Allan variance equivalent theorem NON-STATIONARY auto-regressive and moving average model ring laser gyro 

分 类 号：V241.5[航空宇航科学与技术—飞行器设计]