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Dynamic precise orbit determination of Hayabusa2 using laser altimeter (LIDAR) and image tracking data sets.

Authors :
Yamamoto, Keiko
Otsubo, Toshimichi
Matsumoto, Koji
Noda, Hirotomo
Namiki, Noriyuki
Takeuchi, Hiroshi
Ikeda, Hitoshi
Yoshikawa, Makoto
Yamamoto, Yukio
Senshu, Hiroki
Mizuno, Takahide
Hirata, Naru
Yamada, Ryuhei
Ishihara, Yoshiaki
Araki, Hiroshi
Abe, Shinsuke
Yoshida, Fumi
Higuchi, Arika
Sasaki, Sho
Oshigami, Shoko
Source :
Earth, Planets & Space. 6/12/2020, Vol. 72 Issue 1, p1-17. 17p.
Publication Year :
2020

Abstract

The precise orbit of the Hayabusa2 spacecraft with respect to asteroid Ryugu is dynamically determined using the data sets collected by the spacecraft's onboard laser altimeter (LIght Detection And Ranging, LIDAR) and automated image tracking (AIT). The LIDAR range data and the AIT angular data play complementary roles because LIDAR is sensitive to the line-of-sight direction from Hayabusa2 to Ryugu, while the AIT is sensitive to the directions perpendicular to it. Using LIDAR and AIT, all six components of the initial state vector can be derived stably, which is difficult to achieve using only LIDAR or AIT. The coefficient of solar radiation pressure (SRP) of the Hayabusa2 spacecraft and standard gravitational parameter (GM) of Ryugu can also be estimated in the orbit determination process, by combining multiple orbit arcs at various altitudes. In the process of orbit determination, the Ryugu-fixed coordinate of the center of the LIDAR spot is determined by fitting the range data geometrically to the topography of Ryugu using the Markov Chain Monte Carlo method. Such an approach is effective for realizing the rapid convergence of the solution. The root mean squares of the residuals of the observed minus computed values of the range and brightness-centroid direction of the image are 1.36 m and 0.0270°, respectively. The estimated values of the GM of Ryugu and a correction factor to our initial SRP model are 29.8 ± 0.3 m3/s2 and 1.13 ± 0.16, respectively. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13438832
Volume :
72
Issue :
1
Database :
Academic Search Index
Journal :
Earth, Planets & Space
Publication Type :
Academic Journal
Accession number :
143738546
Full Text :
https://doi.org/10.1186/s40623-020-01213-2