Study on the methods for modeling and forecasting gyro's drift performance based on non-stationary time series
Zhijie Zhou · Electronics Optics & Control · 2005
The basic ideas and the idiographic arithmetics are studied to model and forecast the non-stationary time series of the gyro's drift through Kalman filter and Wavelet analysis. The experiment shows that these two methods are better than the traditional difference method, through which the non-stationary time series can be modeled very well. Finally, their own merits and disadvantages are analyzed respectively by the comparison, which provide the basis for choosing the reasonable modeling method.