Publications related to the GRACE Missions (no abstracts)

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Precise real–time orbit determination for LEO satellites using accelerometer data as observations

Zhang, Ruwei, Zhang, Wanwei, Shao, Xiaowei, Wang, Fuhong, Yu, Yong, Li, Mingzhe, Gong, Xuewen, and Zhou, Pei, 2026. Precise real–time orbit determination for LEO satellites using accelerometer data as observations. Advances in Space Research, 78(3):2988–3002, doi:10.1016/j.asr.2026.05.070.

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BibTeX

@ARTICLE{2026AdSpR..78.2988Z,
       author = {{Zhang}, Ruwei and {Zhang}, Wanwei and {Shao}, Xiaowei and {Wang}, Fuhong and {Yu}, Yong and {Li}, Mingzhe and {Gong}, Xuewen and {Zhou}, Pei},
        title = "{Precise real-time orbit determination for LEO satellites using accelerometer data as observations}",
      journal = {Advances in Space Research},
     keywords = {Low earth orbit (LEO), Accelerometer observations, Broadcast ephemeris, Real-time orbit determination (RTOD), Geomagnetic disturbances},
         year = 2026,
        month = aug,
       volume = {78},
       number = {3},
        pages = {2988-3002},
     abstract = "{Accurate and stable real-time orbit determination (RTOD) for Low-Earth
        Orbit (LEO) satellites is essential for diverse scientific and
        operational missions. However, conventional GPS-based RTOD
        suffers substantial accuracy degradation during intense space-
        environment disturbances, such as geomagnetic storms. Diverging
        from conventional approaches that substitute non-conservative
        force models with accelerometer data in dynamic models, in this
        study we integrate accelerometer data as observations into the
        RTOD filter. A first-order Gauss--Markov process establishes an
        optimized stochastic model for empirical acceleration
        estimation. The method was comprehensively validated using 200
        days of GNSS, accelerometer, and attitude data from GRACE-FO and
        SWARM-C satellites during 2024 solar maximum conditions.
        Compared to conventional GPS-based RTOD without accelerometer
        data, adding accelerometer data reduces the 3D position RMS
        error by at least 30\%, specifically, accuracy improved from
        0.415 m to 0.287 m for GRACE-C and from 0.455 m to 0.298 m for
        SWARM-C. In general, this approach significantly enhances RTOD
        accuracy, stability, and robustness in harsh space environments
        while substantially reducing sensitivity to geomagnetic
        disturbances.}",
          doi = {10.1016/j.asr.2026.05.070},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026AdSpR..78.2988Z},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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