光纤陀螺零漂数据建模与滤波的研究

摘要

Based on the building of the time sequence model of Closed-Loop interferometer fiber optic gyro ( IFOG) drift data,the Closed-Loop IFOG drift data are filtered using Kalman filter algorithm, and the Kalman filter effect are analyzed by power spectral density, at the same time, the coefficient of the noise origin errors of the original and filtered drift data are calculated by Allan variance methods, and the Kalman filter effect are analyzed by the coefficient of the noise origin errors.%在对闭环式干涉型光纤陀螺零漂数据建立时间序列模型(ARIMA模型)的基础上,采用卡尔曼滤波算法对闭环式干涉型光纤陀螺零漂数据进行滤波处理,并通过功率谱密度分析卡尔曼滤波算法的滤波效果,同时采用Allan方差法解算滤波前后的零漂数据的各项噪声源误差系数,并通过各项噪声源误差系数分析滤波效果.