Extended Kalman filtering for combining Earth rotation parameters time series

被引：0

作者：

Fernández, LI ^{[1
]}

机构：

[1] Univ Nacl La Plata, Fac Ciencias Astron & Geofis, La Plata, Argentina

来源：

VISTAS FOR GEODESY IN THE NEW MILLENNIUM | 2002年 / 125卷

关键词：

Earth rotation; filtering; combination;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

The Earth Rotation phenomena can be mathematically described through the Euler-Liouville equations, which are originally nonlinear. In the present work, the Extended Kalman Filtering (EKF) algorithm for nonlinear dynamical system is applied to Earth Rotation Parameters (ERP) in order to produce a combined time series. The behavior of the resultant series is analyzed in comparison to IERS C04 solution, obtained using linear approximation algorithms.

引用

页码：9 / 14

页数：6