会议专题

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

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.

Spacecraft TT&C Ship Ship Swaying Data Time Sequence Model Model Application

ZHANG Zhonghua HUANG Kai LI Xiaoyong YANG Lei CHEN Guiming

China Spacecraft Maritime Tracking and Control Department, Jiangyin, Jiangsu, 214431, P.R.China China Spacecraft Maritime Tracking and Control Department, Jiangyin, Jiangsu, 214431, P.R.China Xia

国际会议

2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)

青岛

英文

1-8

2009-07-25(万方平台首次上网日期,不代表论文的发表时间)