捷联陀螺漂移误差模型辨识及其应用

Identification of Strapdown Gyroscopic Drift Model and Its Application

在对陀螺漂移数据建立时间序列模型的基础上，采用卡尔曼滤波算法对船用捷联陀螺漂移数据进行了处理，以提高陀螺静态漂移误差系数的估计精度，并把得到的陀螺漂移误差模型实时补偿到捷联系统中，得到了满意的效果．

This paper improves the evaluated precision of static gyroscopic drift parameters by adopting Kalman filtering algorithm to process the marine strapdown gyroscopic drift based on time series model. The gyroscopic drift model obtained is valuable to compensate the error of strapdown systems and improve their precision.