Title :
Satellite orbit determination using a magnetometer-based bootstrap filter
Author :
Kim, Soohong ; Chun, Joohwan
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
Abstract :
A Bayesian bootstrap filtering approach is applied to the low Earth orbit (LEO) satellite orbit determination problem. The filter uses the magnitude of the magnetic field vector as measurements. Simulation results for the bootstrap filter demonstrate our algorithm rapidly converges to the true orbital parameters even in the presence of large initial position errors
Keywords :
Bayes methods; artificial satellites; filtering theory; magnetic field measurement; magnetometers; probability; Bayesian bootstrap filtering approach; low Earth orbit; magnetometer-based bootstrap filter; satellite orbit determination; Bayesian methods; Equations; Extraterrestrial measurements; Filtering algorithms; Filters; Gaussian noise; Low earth orbit satellites; Magnetic field measurement; Magnetic separation; Magnetometers;
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-5519-9
DOI :
10.1109/ACC.2000.876607
