Application of fuzzy adaptive Kalman filtering on GPS/INS integrated navigation system

Mingwei Liu*, Fenfen Xiong, Jin Huang

*Corresponding author for this work

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

Abstract

A fuzzy adaptive Kalman filtering navigation algorithm is proposed and further applied to the GPS/INS integrated navigation system in this paper. The common Sage-Husa adaptive filtering algorithm and its drawbacks are elaborated. In order to adjust the Sage-Husa adaptive filter to the optimal state to improve the accuracy of the integrated navigation system, the fuzzy logic adaptive controller is used to adjust the weighting form for the covariance matrix of measurement noise to gradually make it approach to the true noise levels. Simulation results show that the proposed algorithm can not only inhibit the filtering divergence but also improve filtering accuracy.

Original languageEnglish
Title of host publicationEquipment Manufacturing Technology and Automation
Pages1512-1517
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Advanced Design and Manufacturing Engineering, ADME 2011 - Guangzhou, China
Duration: 16 Sept 201118 Sept 2011

Publication series

NameAdvanced Materials Research
Volume317-319
ISSN (Print)1022-6680

Conference

Conference2011 International Conference on Advanced Design and Manufacturing Engineering, ADME 2011
Country/TerritoryChina
CityGuangzhou
Period16/09/1118/09/11

Keywords

  • Fuzzy logic control
  • Integrated navigation
  • Kalman filtering
  • Sage-husa

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