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Research on federated kalman filter for integrated navigation system

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

Abstract

Combination of Global Positioning System (GPS) and Inertial Navigation System (INS) by Kalman Filter can deliver a system performance that is superior to either one in stand-alone mode. However, Kalman Filter based techniques have certain limitations. The prior information about the statistical properties of measurement noise has to be known accurately. This paper proposed and discussed an INS/GPS/magnetic compass integrated navigation method based on federated kalman filter. For the changing circumstances of navigation measurement noise statistical properties, an adaptive Kalman filter was proposed and was combined with federated kalman filter. Simulation results show the method can suppress divergent of INS errors and improve the positioning accuracy of INS/GPS/magnetic compass system, indicating the effectiveness of the method.

Original languageEnglish
Title of host publicationProceedings - PACCS 2011
Subtitle of host publication2011 3rd Pacific-Asia Conference on Circuits, Communications and System
DOIs
StatePublished - 2011
Event2011 3rd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2011 - Wuhan, China
Duration: 17 Jul 201118 Jul 2011

Publication series

NameProceedings - PACCS 2011: 2011 3rd Pacific-Asia Conference on Circuits, Communications and System

Conference

Conference2011 3rd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2011
Country/TerritoryChina
CityWuhan
Period17/07/1118/07/11

Keywords

  • Adaptive Kalman filter
  • Federated kalman filter
  • INS
  • Integrated navigation system

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