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Spacecraft autonomous navigation method based on AE-UKF

  • Jing Jing Li*
  • , Ying Chun Zhang
  • , Bao Hua Li
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Harbin Institute of Technology Shenzhen

Research output: Contribution to journalArticlepeer-review

Abstract

A state estimation method with adaptive ability named AE-UKF method is presented. This method applies Unscented Transformation in the nonlinear state equation, calculates Jacobian matrix in the measurement equation. At the same time, adaptive factor is adopted during the filtering process to improve the adaptive ability of the filter. Applying the AE-UKF method to autonomous navigation system, simulation results show that the accuracy of AE-UKF is the same as UKF while the AE-UKF has a better adaptive ability to uncertain noise and disturbance than UKF in traditional autonomous navigation system.

Original languageEnglish
Pages (from-to)482-488
Number of pages7
JournalYuhang Xuebao/Journal of Astronautics
Volume32
Issue number3
DOIs
StatePublished - Mar 2011

Keywords

  • AE-UKF
  • Adaptive factor
  • Autonomous navigation
  • Unscented transformation

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