Research of integrated navigation system based on information fusion

X. Huang*, P. Cui

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

When a GPS receiver is in high dynamic state or sheltered by obstacles, navigation is always interrupted due to 'losing satellites'. So a new method of GPS/GLONASS/INS integrated navigation system for quick positioning and orientating is presented to solve this problem. Firstly, the demerits of GPS is reviewed, and the scheme and the principles of the integrated navigation system are explained. Then a multi-sensor information fusion algorithm based on federal Kalman filter is analyzed in detail. Finally, the computer simulation is given. Result shows that the accuracy and the reliability of the navigation system are efficiently improved thus providing an approach to data processing in the integrated navigation system.

Original languageEnglish
Pages (from-to)210-214
Number of pages5
JournalShuju Caiji Yu Chuli/Journal of Data Acquisition and Processing
Volume16
Issue number2
Publication statusPublished - 2001
Externally publishedYes

Keywords

  • Federal Kalman filter
  • GPS
  • Information fusion
  • Integrated navigation

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