Novel star identification algorithm utilizing images of two star trackers

Koki Ho, Shinichi Nakasuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper investigates a star identification algorithm to improve the performance of especially a micro star tracker whose Field-of-view (FOV) is small. This algorithm is characterized by combining the images from two star trackers to identify the stars, rather than identifying the stars in each image separately. To improve the success ratio of star identification and attitude estimation accuracy, some novel ideas are added to the algorithm, such as the sequence of the algorithm based on both the FOVs and the mitigation of the problem of misalignments. By simulation results, the feasibility of that algorithm is evaluated.

Original languageEnglish (US)
Title of host publication2010 IEEE Aerospace Conference Proceedings
StatePublished - Jun 2 2010
Externally publishedYes
Event2010 IEEE Aerospace Conference - Big Sky, MT, United States
Duration: Mar 6 2010Mar 13 2010

Publication series

NameIEEE Aerospace Conference Proceedings
ISSN (Print)1095-323X


Other2010 IEEE Aerospace Conference
Country/TerritoryUnited States
CityBig Sky, MT

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science


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