Radar update (RUPT): A pedestrian navigation system with enhanced trajectory performance

Yuquan Dai, Kemeng Li, Jin Chai, Zhuoling Xiao*, Bo Yan, Yi He, Wenyu Peng

*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

To alleviate the dependence on sensor quality and to reduce the accumulated error in traditional inertial navigation systems, this paper proposes RUPT: a millimeter-wave radar aided pedestrian dead reckoning system with dual foot-mounted inertial measurement units (IMU). RUPT in this paper is a comprehensive data processing procedure which pre-processes both inertial data and millimeter-wave data and fuses them in a complementary way. Extensive experiments have demonstrated that the accuracy of RUPT has been improved by up to 65% over the conventional dual-foot mounted pedestrian tracking system.

Original languageEnglish
Title of host publication2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728192017
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Daegu, Korea, Republic of
Duration: 22 May 202128 May 2021

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2021-May
ISSN (Print)0271-4310

Conference

Conference53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021
Country/TerritoryKorea, Republic of
CityDaegu
Period22/05/2128/05/21

Keywords

  • Data fusion
  • GPS-denied
  • INS
  • Millimeter-wave radar

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