In flight magnetometer calibration via unscented Kalman filter

Halil Ersin Soken*, Chingiz Hajiyev

*Corresponding author for this work

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

14 Citations (Scopus)

Abstract

In this study an unscented Kalman filter (UKF) based algorithm for the estimation of magnetometer biases and scale factors is proposed as a part of the attitude estimation scheme of a small satellite. UKF estimates magnetometer biases and scale factors as well as six attitude parameters of the satellite. Differently from the existing algorithms, scale factors are not treated together with the other parameters as a part of the state vector; three scale factors are estimated via a newly proposed extension for the UKF. Proposed algorithm is simulated for attitude estimation of a pico satellite which has three magnetometers and three rate gyros as measurement sensors. Besides, effects of non-calibrated magnetometers on attitude determination are shown via supplementary simulations.

Original languageEnglish
Title of host publicationRAST 2011 - Proceedings of 5th International Conference on Recent Advances in Space Technologies
Pages885-890
Number of pages6
DOIs
Publication statusPublished - 2011
Event5th International Conference on Recent Advances in Space Technologies, RAST 2011 - Istanbul, Turkey
Duration: 9 Jun 201111 Jun 2011

Publication series

NameRAST 2011 - Proceedings of 5th International Conference on Recent Advances in Space Technologies

Conference

Conference5th International Conference on Recent Advances in Space Technologies, RAST 2011
Country/TerritoryTurkey
CityIstanbul
Period9/06/1111/06/11

Keywords

  • attitude estimation
  • magnetometer calibration
  • unscented Kalman filter

Fingerprint

Dive into the research topics of 'In flight magnetometer calibration via unscented Kalman filter'. Together they form a unique fingerprint.

Cite this