Numerical differentiation approaches for kinematic orbit solutions.

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Title: Numerical differentiation approaches for kinematic orbit solutions.
Authors: Zapevalin, P.R.1 (AUTHOR) pav9981@yandex.ru, Zharov, V.E.2 (AUTHOR)
Source: Advances in Space Research. Feb2026, Vol. 77 Issue 3, p3889-3905. 17p.
Subjects: Numerical differentiation, Velocity measurements, Signal processing, Orbits (Astronomy), Gravitational fields, Orbital mechanics, Digital filters (Mathematics)
Abstract: • Developed numerical methods for deriving velocities from kinematic orbits. • Compared central difference, EDF30 and Savitzky-Golay filtering. • Simulate gravity field recovery in case of GOCE orbit. • Compared GOCE and GRACE-FO data. • Integrated FIR and IIR filters to reduce noise amplification. • Spectral analysis showed the performance of differentiation under different conditions. • Achieved 3D RMSE of 0.15 mm/s for kinematic velocities w.r.t. HRD orbit. • Enhanced accuracy of gravity field recovery for independent modeling. This paper investigates numerical differentiation methods for obtaining velocities and accelerations from kinematic low-Earth orbits using simulated data and data from the GOCE and GRACE-FO missions with reduced-dynamic orbits as a reference. Kinematic orbits are crucial for independent gravity field modeling in the long-wavelength part of the spectrum free from a priori gravity assumptions, but they lack direct velocity and acceleration data, requiring numerical differentiation of the orbit data. We compare central difference approximation, Extended Differentiation and Savitzky-Golay filtering, chosen based on previous literature, and integrate low-pass filters (FIR, IIR) to reduce noise amplification. Power spectral density analysis and error metrics for GOCE and GRACE-FO show that despite slight differences in these missions, SGF and low-pass filtering generally yield the best accuracy in determining kinematic velocity. These studies can be used to construct new gravity field maps and can also be considered for future geodetic applications. [ABSTRACT FROM AUTHOR]
Copyright of Advances in Space Research is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Numerical differentiation approaches for kinematic orbit solutions.
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  Data: <searchLink fieldCode="DE" term="%22Numerical+differentiation%22">Numerical differentiation</searchLink><br /><searchLink fieldCode="DE" term="%22Velocity+measurements%22">Velocity measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Orbits+%28Astronomy%29%22">Orbits (Astronomy)</searchLink><br /><searchLink fieldCode="DE" term="%22Gravitational+fields%22">Gravitational fields</searchLink><br /><searchLink fieldCode="DE" term="%22Orbital+mechanics%22">Orbital mechanics</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+filters+%28Mathematics%29%22">Digital filters (Mathematics)</searchLink>
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  Data: • Developed numerical methods for deriving velocities from kinematic orbits. • Compared central difference, EDF30 and Savitzky-Golay filtering. • Simulate gravity field recovery in case of GOCE orbit. • Compared GOCE and GRACE-FO data. • Integrated FIR and IIR filters to reduce noise amplification. • Spectral analysis showed the performance of differentiation under different conditions. • Achieved 3D RMSE of 0.15 mm/s for kinematic velocities w.r.t. HRD orbit. • Enhanced accuracy of gravity field recovery for independent modeling. This paper investigates numerical differentiation methods for obtaining velocities and accelerations from kinematic low-Earth orbits using simulated data and data from the GOCE and GRACE-FO missions with reduced-dynamic orbits as a reference. Kinematic orbits are crucial for independent gravity field modeling in the long-wavelength part of the spectrum free from a priori gravity assumptions, but they lack direct velocity and acceleration data, requiring numerical differentiation of the orbit data. We compare central difference approximation, Extended Differentiation and Savitzky-Golay filtering, chosen based on previous literature, and integrate low-pass filters (FIR, IIR) to reduce noise amplification. Power spectral density analysis and error metrics for GOCE and GRACE-FO show that despite slight differences in these missions, SGF and low-pass filtering generally yield the best accuracy in determining kinematic velocity. These studies can be used to construct new gravity field maps and can also be considered for future geodetic applications. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Advances in Space Research is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.asr.2025.11.059
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 3889
    Subjects:
      – SubjectFull: Numerical differentiation
        Type: general
      – SubjectFull: Velocity measurements
        Type: general
      – SubjectFull: Signal processing
        Type: general
      – SubjectFull: Orbits (Astronomy)
        Type: general
      – SubjectFull: Gravitational fields
        Type: general
      – SubjectFull: Orbital mechanics
        Type: general
      – SubjectFull: Digital filters (Mathematics)
        Type: general
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      – TitleFull: Numerical differentiation approaches for kinematic orbit solutions.
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            NameFull: Zapevalin, P.R.
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            NameFull: Zharov, V.E.
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              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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              Value: 77
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