Real-Time Trajectory Estimation of Space Launch Vehicle Using Extended Kalman Filter and Unscented Kalman Filter

Details Real-Time Trajectory Estimation of Space Launch Vehicle Using Extended Kalman Filter and Unscented Kalman Filter Real-Time Trajectory Estimation of Space Launch Vehicle Using Extended Kalman Filter and Unscented Kalman Filter

Dec 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005jass...22..501b&link_type=abstract

Journal of Astronomy and Space Sciences. Vol. 22, no. 4, 501-512

Astronomy and Astrophysics

Astronomy

Real-Time Trajectory Estimation, Kslv-I, Extended Kalman Filter, Unscented Kalman Filter

Scientific paper

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.

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