Accuracy analysis using assistant sensor integration on various IMU during GPS signal blockage

Won Jin Lee, Jay Hyoun Kwon, Jong Ki Lee, Joong Hee Han

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

In this study, the performances of a medium grade IMU which is aimed for Mobile Mapping System and a low grade IMU for pedestrian navigation are analyzed through simulations under GPS signal blockage. In addition, an analysis on the accuracy improvement of barometer, electronic compass, or multi- sensor(combination of barometer and electronic compass) to correct medium grade or low grade IMU errors in the situation of GPS signal blockage is performed. With the medium grade IMU, the three dimensional positioning error from INS exceeds the demanded accuracy of 5m when the block time is over 30 seconds. When we correct IMU with barometer, compass, or multi-sensor, however, the demanded accuracy is maintained up to 60 seconds. In addition, barometer is more effective than the electronic compass when they are combined. In case of low grade IMU like MEMS IMU, the three dimensional positioning error from INS exceeds the demanded accuracy of 20m when the block time is over 15 seconds. When we correct INS with barometer, compass, or multi-sensor, however, the demanded accuracy is maintained up to 15 seconds in simulation results. On the contrary to medium grade IMU, electronic compass is more effective than the barometer in case of low velocity such as pedestrian navigation. It is expected that the analysis suggested a method to decrease position or attitude error using aided sensor integration when MMS or pedestrian navigation is operated under the environment of GPS signal blockage.

Original languageEnglish
Pages (from-to)65-72
Number of pages8
JournalJournal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
Volume28
Issue number1
StatePublished - 2010

Keywords

  • Barometer
  • Electronic Compass
  • GPS signal block
  • IMU

Fingerprint

Dive into the research topics of 'Accuracy analysis using assistant sensor integration on various IMU during GPS signal blockage'. Together they form a unique fingerprint.

Cite this