Real-Time Trajectory Estimation of Space Launch Vehicle Using Extended Kalman Filter and Unscented Kalman Filter
| Autor: | Jeong-Ho Baek, Sang-Young Park, Eun-Seo Park, Kyu-Hong Choi, Hyung-Chul Lim, Jong-Uk Park |
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| Jazyk: | angličtina |
| Rok vydání: | 2005 |
| Předmět: | |
| Zdroj: | Journal of Astronomy and Space Sciences, Vol 22, Iss 4, Pp 501-512 (2005) |
| Druh dokumentu: | article |
| ISSN: | 2093-5587 2093-1409 |
| DOI: | 10.5140/JASS.2005.22.4.501 |
| Popis: | This research supposed when a fictitious KSLV-I space launch vehicle launches from NARO space center. This compared and analyzed the results from real-time trajectory estimation using the Extended Kalman Filter and the Unscented Kalman Filter. A virtual trajectory and observation data are generated for the fictitious KSLV-I and three measurement radars. The performances of both filters are compared for several simulations with small initial errors, large initial errors, 20Hz and 10Hz data rate. The results show that the Unscented Kalman Filter yields faster convergence and more accurate than the Extended Kalman Filter for the cases with larger initial error and slower data rate conditions. |
| Databáze: | Directory of Open Access Journals |
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