Development, demonstration and validation of the deep space orbit determination software using lunar prospector tracking data

Eunji Lee, Youngkwang Kim, Minsik Kim, Sang Young Park

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

The deep space orbit determination software (DSODS) is a part of a flight dynamic subsystem (FDS) for the Korean Pathfinder Lunar Orbiter (KPLO), a lunar exploration mission expected to launch after 2018. The DSODS consists of several sub modules, of which the orbit determination (OD) module employs a weighted least squares algorithm for estimating the parameters related to the motion and the tracking system of the spacecraft, and subroutines for performance improvement and detailed analysis of the orbit solution. In this research, DSODS is demonstrated and validated at lunar orbit at an altitude of 100 km using actual Lunar Prospector tracking data. A set of a priori states are generated, and the robustness of DSODS to the a priori error is confirmed by the NASA planetary data system (PDS) orbit solutions. Furthermore, the accuracy of the orbit solutions is determined by solution comparison and overlap analysis as about tens of meters. Through these analyses, the ability of the DSODS to provide proper orbit solutions for the KPLO are proved.

Original languageEnglish
Pages (from-to)213-223
Number of pages11
JournalJournal of Astronomy and Space Sciences
Volume34
Issue number3
DOIs
Publication statusPublished - 2017 Jan 1

Fingerprint

Lunar Prospector
orbit determination
deep space
computer programs
software
Lunar Orbiter
orbits
modules
lunar orbits
lunar exploration
subroutines
data systems
spacecraft
estimating
flight

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)
  • Earth and Planetary Sciences(all)

Cite this

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Development, demonstration and validation of the deep space orbit determination software using lunar prospector tracking data. / Lee, Eunji; Kim, Youngkwang; Kim, Minsik; Park, Sang Young.

In: Journal of Astronomy and Space Sciences, Vol. 34, No. 3, 01.01.2017, p. 213-223.

Research output: Contribution to journalArticle

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