Using data processing methods to improve the accuracy of strap-down north finder for vehicles

Chunlei Song*, Ling Xie, Jiabin Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The data processing methods are applied to improve the accuracy of strap-down north finder for vehicles when north finder is subject to some external disturbances. The north-seeking principles of strap-down north finder and reasons for causing errors by external disturbances are analyzed in detail. Low pass filtering method and two types of statistical subsection methods are presented. The experimental data and simulation results show that the methods presented are very practical and effective to reject some external disturbances and to improve the accuracy of strap-down north finder.

Original languageEnglish
Pages (from-to)844-848
Number of pages5
JournalBeijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis
Volume40
Issue number5
Publication statusPublished - Sept 2004

Keywords

  • Data processing
  • Disturbance rejection
  • Low pass filtering
  • Statistical subsection
  • Strap-down north finder

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