Earth Polar Motion Parameters High Accuracy Differential Prediction
This paper proposes a method of Earth polar motion parameters prediction by dual differential least-squares (LS) and autoregressive (AR) model.Firstly, polar motion parameters are processed by dual differential method, the stationarity of polar motion parameters is improved.Then, LS+AR method is utilized to analyze the dual differential polar motion parameters to obtain the preliminary prediction results.Finally, the preliminary prediction results are processed by inverse dual differential method to obtain high accuracy polar motion prediction results.The prediction results are compared with EOP prediction comparison campaign (EOP_PCC) results, it shows that the short-term polar motion parameters prediction error is at the same level of EOP_PCC.The one day prediction accuracy of PMX is at the level of 0.25 mas, PMY is 0.2 mas, they are better than EOP_PCC one day polar motion prediction accuracy.
Earth orientation parameters Polar motion parameters prediction Dual differential Least-squares AR model
Lue Chen Geshi Tang Songjie Hu Ming Chen Yifei Li Mei Wang Jing Sun Ming Shi Li Li
National Key Laboratory of Science and Technology on Aerospace Flight Dynamic, Beijing 100094, China;Beijing Aerospace Control Center, Beijing 100094, China
国际会议
The 27th Conference of Spacecraft TT&C Technology in China(第27届中国飞行器测控学术会议)
广州
英文
71-79
2014-11-09(万方平台首次上网日期,不代表论文的发表时间)