Skip to main navigation Skip to search Skip to main content

New modified adaptive extended Kalman filter of DR system for land vehicle navigation

  • Jiancheng Fang*
  • , Gongxun Shen
  • , Dejun Wan
  • *Corresponding author for this work
  • Peking University

Research output: Contribution to journalArticlepeer-review

Abstract

The observation equation of the dead reckoning (DR) system for the land vehicle navigation was presented, and the modified adaptive extended Kalman filter and its filtering algorithm for the DR system were proposed. By consideration of Markov process component in the random drift of rate gyros, and application of the current statistical model and adaptive algorithm for estimation maneuvering vehicles, the accuracy of the DR system model was improved. The simulation results have shown that the positional accuracy of the DR system can be improved significantly by the modified filter and adaptive algorithm.

Original languageEnglish
Pages (from-to)722-725
Number of pages4
JournalBeijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
Volume24
Issue number6
StatePublished - 1998
Externally publishedYes

Fingerprint

Dive into the research topics of 'New modified adaptive extended Kalman filter of DR system for land vehicle navigation'. Together they form a unique fingerprint.

Cite this