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http://dx.doi.org/10.5140/JASS.2005.22.4.501

REAL-TIME TRAJECTORY ESTIMATION OF SPACE LAUNCH VEHICLE USING EXTENDED KALMAN FILTER AND UNSCENTED KALMAN FILTER  

Baek, Jeong-Ho (Korea Astronomy and Space Science Institute)
Park, Sang-Young (Dept. of Astronomy and Space Science, Yonsei University)
Park, Eun-Seo (Dept. of Astronomy and Space Science, Yonsei University)
Choi, Kyu-Hong (Dept. of Astronomy and Space Science, Yonsei University)
Lim, Hyung-Chul (Korea Astronomy and Space Science Institute)
Park, Jong-Uk (Korea Astronomy and Space Science Institute)
Publication Information
Journal of Astronomy and Space Sciences / v.22, no.4, 2005 , pp. 501-512 More about this Journal
Abstract
This research supposed when a fictitious KSIV-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 Otters 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.
Keywords
real-time trajectory estimation; KSIV-I; extended Kalman filter; unscented Kalman filter;
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