Research and Application of Modeling for Spacecraft TT&C Ship Swaying Data

摘要

In this paper time serial auto-regressive (AR) model is proposed for spacecraft TT&C(tracking, telemetry and control) ship swaying data, and based on which real-time filtering and predicting methods are presented. Via lots of calculations of test data and simulation data, these methods accepted evaluations from such aspects as RMSE(Root Mean Square Error), residual correlation, fitting variance as well as root mean square (RMS) deviation. The results show that the methods discussed in this paper perform excellently in ship swaying data processing.