On-line orbit and albedo estimation using a strong tracking algorithm via satellite surface temperature data

Nasihati Gourabi, F ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.1109/TAES.2020.3043522
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2020
  4. Abstract:
  5. The Earth albedo factor (EAF) is a major required parameter for the thermal analysis of low Earth orbit (LEO) satellites. Satellites receive variable albedo radiation as they orbit around the Earth that is heavily dependent on the Earth's local terrain as well as the instantaneous cloud coverage. However, for satellite thermal balancing and control analysis, a constant mean EAF is usually taken based on the orbital parameters that could potentially introduce erroneous results. Recent advances in temperature-based orbit estimation (TBOE) algorithms have revealed a significant sensitivity concerning EAF giving rise to the idea of its on-line estimation for added accuracy. In this sense, a novel strong tracking spherical simplex-radial cubature Kalman filter is being proposed in the present paper to simultaneously estimate abrupt changes of the top of the atmosphere EAF along with the satellite orbit to improve the performance of the TBOE. Additionally, the system states are augmented with two radiative parameters related to satellite surface to make the filtering algorithm more robust against their variations throughout a space mission emanating out of environmental changes. Numerical simulations indicate that the proposed parameter and state estimation method makes the TBOE more stable and improves its accuracy by up to 40 percent in comparison to the previous related research. IEEE
  6. Keywords:
  7. Earth albedo radiation ; Earth infrared radiation ; Kalman filters ; Orbit estimation ; Strong tracking filter ; Temperature-based model ; Numerical methods ; Parameter estimation ; Satellites ; Solar radiation ; Thermoanalysis ; Tracking (position) ; Cubature kalman filters ; Environmental change ; Low earth orbit satellites ; Parameter and state estimation ; Radiative parameters ; Strong tracking algorithms ; Surface temperatures ; Top of the atmospheres ; Orbits
  8. Source: IEEE Transactions on Aerospace and Electronic Systems ; 9 December , 2020
  9. URL: https://ieeexplore.ieee.org/abstract/document/9288877