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Geomagnetism/GPS/SINS integrated navigation based on an improved Square-root UKF

  • Xianlin Huang*
  • , Mingming Li
  • , Haidong Hu
  • , Hongqian Lu
  • *Corresponding author for this work
  • Harbin Institute of Technology

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

Abstract

According to the peculiarity of the system model, the Square-root UKF algorithm is improved. Compared with Square-root UKF, the improved Square-root UKF reduces the computational complexity, under the premise of guaranteeing the positive semi-definiteness of the state covariance. To improve the performance of navigation system when the attitude errors are large, a nonlinear attitude errors measurement equation of geomagnetism is derived, and a new nonlinear algorithm for geomagnetism/GPS/SINS integrated navigation is proposed based on the improved Square-root UKF. The simulation results show that the effect of attitude errors of correction is enhanced through introducing the information of attitude errors of geomagnetism into navigation system in the case of system with large attitude errors. It can be concluded that the nonlinear geomagnetism/GPS/SINS integrated navigation system can improve the performance of navigation.

Original languageEnglish
Title of host publication2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
Pages73-76
Number of pages4
DOIs
StatePublished - 2009
Event2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009 - Changsha, Hunan, China
Duration: 10 Oct 200911 Oct 2009

Publication series

Name2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
Volume4

Conference

Conference2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
Country/TerritoryChina
CityChangsha, Hunan
Period10/10/0911/10/09

Keywords

  • Geomagnetic navigation
  • Integrated navigation
  • Square-root UKF

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