A comparison between numerical differentiation and Kalman filtering for a LEO satellite velocity determination

• Autorzy: Sharifi M. A. , Seif M. R. , Hadi M. A.

Identyfikatory

DOI

10.2478/arsa-2013-0009

• Języki publikacji: EN

Abstrakty

EN

The kinematic orbit is a time series of position vectors generally obtained from GPS observations. Velocity vector is required for satellite gravimetry application. It cannot directly be observed and should be numerically determined from position vectors. Numerical differentiation is usually employed for a satellite’s velocity, and acceleration determination. However, noise amplification is the single obstacle to the numerical differentiation. As an alternative, velocity vector is considered as a part of the state vector and is determined using the Kalman filter method. In this study, velocity vector is computed using the numerical differentiation (e.g., 9-point Newton interpolation scheme) and Kalman filtering for the GRACE twin satellites. The numerical results show that Kalman filtering yields more accurate results than numerical differentiation when they are compared with the intersatellite range-rate measurements.

Słowa kluczowe

EN

Kalman filtering; numerical differentiation; satellite velocity; KBR system

• Wydawca: Centrum Badań Kosmicznych PAN ; De Gruyter
• Czasopismo: Artificial Satellites : Journal of Planetary Geodesy
• Rocznik: 2013
• Tom: Vol. 48, No. 3
• Strony: 103--110
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Sharifi M. A.

• Department of Surveying and Geomatics Engineering, University College of Engineering, University of Tehran, Enghelab Ave., P.O. Box 11365-4563, Tehran, Iran

autor

Seif M. R.

• Department of Surveying and Geomatics Engineering, University College of Engineering, University of Tehran, Enghelab Ave., P.O. Box 11365-4563, Tehran, Iran

autor

Hadi M. A.

• Department of Surveying and Geomatics Engineering, University College of Engineering, University of Tehran, Enghelab Ave., P.O. Box 11365-4563, Tehran, Iran

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).