Odometer aided in-motion alignment based on strong tracking filter for land vehicles

Wenshao Gao*, Xuan Xiao, Songtian Shang, Zhihong Deng

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

In-motion alignment of strap-down inertial navigation system (SINS) for land use is researched in this paper. Alignment process is accomplished in 10 minutes by using the information from a combined odometer whose installation angles from vehicle body frame (VBF) to INS body frame is not calibrated. The difference of the SINS velocity result and the odometer measured velocity projected to navigation coordinate is taken as the measurement for the filter. Focusing on the problem that the statistic property of measurement noise is vague causing by the installation angles and the inconstant scale factor error of odometer, a strong tracking kalman filter (STKF) is employed and designed in the in-motion alignment of the SINS/OD integration navigation system. The experiment result shows that compared with traditional kalman filter (KF), STKF has faster convergence speed and higher accuracy, particularly in azimuth error improved greatly.

Original languageEnglish
Title of host publicationProceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012
Pages1514-1517
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012 - Xi'an, China
Duration: 23 Aug 201225 Aug 2012

Publication series

NameProceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012

Conference

Conference2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012
Country/TerritoryChina
CityXi'an
Period23/08/1225/08/12

Keywords

  • SINS
  • in-motion alignment
  • odometer aided
  • strong track filter

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