A sequential estimation approach to terrestrial reference frame determination
Autor: | Claudio Abbondanza, Richard S. Gross, Benedikt Soja, Jay Parker, Toshio M. Chin, Michael Heflin, Xiaoping Wu |
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Rok vydání: | 2020 |
Předmět: |
Helmert transformation
Atmospheric Science International Terrestrial Reference System Sequential estimation 010504 meteorology & atmospheric sciences Computer science Frame (networking) Aerospace Engineering Astronomy and Astrophysics 01 natural sciences symbols.namesake Geophysics Space and Planetary Science 0103 physical sciences symbols General Earth and Planetary Sciences Observability 010303 astronomy & astrophysics Terrestrial reference frame Algorithm Smoothing 0105 earth and related environmental sciences Reference frame |
Zdroj: | Advances in Space Research. 65:1235-1249 |
ISSN: | 0273-1177 |
Popis: | 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. |
Databáze: | OpenAIRE |
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