ZHENG Jia-hua, WANG Hong-li, ZHANG Ming-yuan, et al. Process of laser gyro drift data base on time sequence model[J]. 2008, (1): 102-104. DOI: 10.13873/j.1000-97872008.01.009.
基于时间序列模型的激光陀螺随机漂移数据处理
摘要
采用时间序列分析方法建立激光陀螺随机误差模型
应用递推最小二乘(RLS)法估计模型的参数
在此基础上对激光陀螺的漂移数据进行了卡尔曼滤波
结果表明:该方法能有效地抑制激光陀螺的随机误差
提高了激光陀螺的精度。
Abstract
A time sequence model of laser gyro random error is set up
model parameter is estimated with RLS algorithm
and random drift data are processed by Kalman filter base on the model.The result shows that this method can decrease the randon error of laser gyro effectively.