Open AccessDevelopment, Demonstration and Validation of the Deep Space Orbit Determination Software Using Lunar Prospector Tracking Data
Author(s) -
Eunji Lee,
Youngkwang Kim,
Minsik Kim,
Sang Young Park
Publication year - 2017
Publication title -
journal of astronomy and space sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.273
H-Index - 11
eISSN - 2093-5587
pISSN - 2093-1409
DOI - 10.5140/jass.2017.34.3.213
Subject(s) - orbit determination , spacecraft , orbit (dynamics) , computer science , orbiter , pathfinder , a priori and a posteriori , software , remote sensing , geosynchronous orbit , geodesy , aerospace engineering , algorithm , satellite , geology , engineering , philosophy , epistemology , library science , programming language
The deep space orbit determination software (DSODS) is a part of a flight dynamic subsystem (FDS) for the Korean\udPathfinder Lunar Orbiter (KPLO), a lunar exploration mission expected to launch after 2018. The DSODS consists of several\udsub modules, of which the orbit determination (OD) module employs a weighted least squares algorithm for estimating the\udparameters related to the motion and the tracking system of the spacecraft, and subroutines for performance improvement\udand detailed analysis of the orbit solution. In this research, DSODS is demonstrated and validated at lunar orbit at an\udaltitude of 100 km using actual Lunar Prospector tracking data. A set of a priori states are generated, and the robustness\udof DSODS to the a priori error is confirmed by the NASA planetary data system (PDS) orbit solutions. Furthermore, the\udaccuracy of the orbit solutions is determined by solution comparison and overlap analysis as about tens of meters. Through\udthese analyses, the ability of the DSODS to provide proper orbit solutions for the KPLO are proved