Covariance analysis of three-axis attitude determination using two vector measurements

Demet Cilden, Ece Sevim Conguroglu, Chingiz Hajiyev

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

9 Citations (Scopus)

Abstract

Two different methods are compared to estimate attitude in this study. These methods are Single Value Decomposition (SVD) solving Wahba's problem optimally and Algebraic Method using two vector measurements. Selected spacecraft data is used for orbit propagation. Magnetometer and Sun sensor are chosen for this work, also the mathematical models and the measurement models of these sensors are used for the actual value and the measurement values. Simulations are done and the covariance for two methods are calculated. According to the calculations comparison is made between these two methods. And as expected, it is seen that SVD method is more accurate than Algebraic Method.

Original languageEnglish
Title of host publicationRAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies
EditorsM. Fevzi Unal, Suleyman Basturk, Okyay Kaynak, Abdurrahman Hacioglu, Fuat Ince
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages701-706
Number of pages6
ISBN (Electronic)9781467377607
DOIs
Publication statusPublished - 17 Aug 2015
Event7th International Conference on Recent Advances in Space Technologies, RAST 2015 - Istanbul, Turkey
Duration: 16 Jun 201519 Jun 2015

Publication series

NameRAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies

Conference

Conference7th International Conference on Recent Advances in Space Technologies, RAST 2015
Country/TerritoryTurkey
CityIstanbul
Period16/06/1519/06/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • SVD method
  • algebraic method
  • attitude determination
  • covariance analysis
  • vector measurement

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