A sequential estimation approach to terrestrial reference frame determination

被引:3
|
作者
Abbondanza, Claudio [1 ]
Chin, Toshio M. [1 ]
Gross, Richard S. [1 ]
Heflin, Michael B. [1 ]
Parker, Jay W. [1 ]
Soja, Benedikt S. [1 ]
Wu, Xiaoping [1 ]
机构
[1] CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA
关键词
Terrestrial reference frames; GNSS; VLBI; SLR; DORIS; Kalman filtering; KALMAN-FILTER; DATA ASSIMILATION; REALIZATION; STABILITY; ITRF2014; JTRF2014; IMPACT; MOTION; ERROR; SPACE;
D O I
10.1016/j.asr.2019.11.016
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
We review the main concepts underlying the determination of terrestrial reference frames (TRFs) through a recursive algorithm based on Kalman Filtering and Rauch-Tung-Striebel (RTS) smoothing which is currently adopted at Jet Propulsion Laboratory (JPL) to compute sub-secular frame products (JTRFs). We contextualize the TRF determination in the state-space framework and we emphasize connections between frame state, its observability through space-geodetic frame inputs and the similarity transformation which is central to frame definition. We elaborate on the notion of sub-secular frame, enabled by our approach, in constrast to standard TRF products which, secular by construction, are designed to represent the long-term mean physical properties of the frame. Comparisons of JTRF solutions to standard products such as the International Terrestrial Reference Frame (ITRF) suggest high-level consistency in a long-term sense with time derivatives of the Helmert transformation parameters connecting the two TRFs below 0.18 mm/yr. We discuss advantages and limitations of JPL approach to TRF determination and outline lines of inquiries that are currently being researched as part of JTRF development plan. (C) 2019 COSPAR. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1235 / 1249
页数:15
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