In this study, the precise orbit determination (POD) software is developed for optical observation. To improve the performance of the estimation algorithm, a nonlinear batch filter, based on the unscented transform (UT) that overcomes the disadvantages of the least-squares (LS) batch filter, is utilized. The LS and UT batch filter algorithms are verified through numerical simulation analysis using artificial optical measurements. We use the real optical observation data of a low Earth orbit (LEO) satellite, Cryosat-2, observed from optical wide-field patrol network (OWL-Net), to verify the performance of the POD software developed. The effects of light travel time, annual aberration, and diurnal aberration are considered as error models to correct OWL-Net data. As a result of POD, measurement residual and estimated state vector of the LS batch filter converge to the local minimum when the initial orbit error is large or the initial covariance matrix is smaller than the initial error level. However, UT batch filter converges to the global minimum, irrespective of the initial orbit error and the initial covariance matrix.
|Number of pages||16|
|Journal||Journal of Astronomy and Space Sciences|
|Publication status||Published - 2019 Dec 1|
Bibliographical noteFunding Information:
This research was supported by the development of Electro-optical Space Surveillance System and through the Korea Astronomy and Space Science Institute, funded by the National Research Council of Science and Technology, and by the Korea Astronomy and Space Science Institute under the R&D program (Project No. 2019-1-854-02) supervised by the Ministry of Science and ICT.
© 2019 The Korean Space Science Society.
All Science Journal Classification (ASJC) codes
- Physics and Astronomy(all)
- Earth and Planetary Sciences(all)