Map matching-aided in-motion SINS initial alignment

Gaowei Zhang*, Jiabin Chen, Chunlei Song, Tingting Wang

*Corresponding author for this work

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

Abstract

The paper introduces a novel in-motion SINS initial alignment algorithm using the inertial frame as computing reference. First, dead reckoning method is utilized with the help of the external odometer speed information aiming to eliminate the angular and linear moving disturbances. Second, in order to suppressing the divergence of the positioning error, a new integrated Map Matching algorithm is introduced which is able to reduce the effect of misalignment angle from coarse alignment for positioning error. Road test results show that this algorithm has greatly reduced the coarse alignment of directional accuracy and saved the requirements of speed and route for land vehicles. Not only is the mobility of land vehicle enhanced but also the accuracy of initial alignment of inertial navigation system is improved, which is meaningful in real application.

Original languageEnglish
Title of host publicationAdvanced Designs and Researches for Manufacturing
Pages1395-1401
Number of pages7
DOIs
Publication statusPublished - 2013
Event2nd International Conference on Materials and Products Manufacturing Technology, ICMPMT 2012 - Guangzhou, China
Duration: 22 Sept 201223 Sept 2012

Publication series

NameAdvanced Materials Research
Volume605-607
ISSN (Print)1022-6680

Conference

Conference2nd International Conference on Materials and Products Manufacturing Technology, ICMPMT 2012
Country/TerritoryChina
CityGuangzhou
Period22/09/1223/09/12

Keywords

  • Dead reckoning
  • In-motion SINS initial alignment
  • Inertial frame
  • Integrated map matching algorithm

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