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Improving star centroiding accuracy in stray light base on background estimation

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Star sensor, an important component of the spacecraft attitude control system, has the highest attitude measurement accuracy. But the star sensor is often interfered by stray light in space, which affects the star extraction process, resulting in accuracy degradation of the star sensor. To solve this problem, a star extraction algorithm base on background estimation is proposed. By estimating removing the background of the star image, the algorithm simultaneously achieves high star extraction rate and high extraction accuracy. Experiments on both simulated star images and real night-sky images show that the proposed algorithm outperforms state of the art algorithm in both extraction rate and accuracy, especially for the images of very complex background. In addition, computational complexity and fast implementation of the algorithm is also discussed.

Original languageEnglish
Title of host publication2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2018
EditorsSatyajit Chakrabarti, Himadri Nath Saha
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages513-518
Number of pages6
ISBN (Electronic)9781538672662
DOIs
StatePublished - 2 Jul 2018
Event9th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2018 - Vancouver, Canada
Duration: 1 Nov 20183 Nov 2018

Publication series

Name2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2018

Conference

Conference9th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2018
Country/TerritoryCanada
CityVancouver
Period1/11/183/11/18

Keywords

  • background estimation
  • star extraction
  • star sensor

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