An improved indoor localization solution using a hybrid UWB-Doppler system with Kalman filter

Jing Wang, Yao Tang, Jose Maria Munoz-Ferreras, Roberto Gomez-Garcia, Changzhi Li

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

9 Scopus citations

Abstract

Ultra-wideband (UWB) positioning system has gained much attention in the field of indoor localization due to its various advantages. The narrow pulse nature of UWB signal results in a very large bandwidth which enables high resolution positioning, low loss penetration, and low cost. However, practically, the low transmit power severely restrains the transmission range of UWB signal so that it is only suitable for short-range accurate ranging. Therefore, a novel hybrid UWB-Doppler system was proposed by using a fixed UWB positioning system monitored region to calibrate the accumulated error of a Doppler-gyroscope trajectory-tracking system. In this paper, we present improved indoor localization performance using the hybrid UWB-Doppler system employing the Kalman Filter. Experiments were conducted in a large complex indoor environment to further demonstrate the feasibility of the proposed indoor localization method.

Original languageEnglish
Title of host publicationRWS 2018 - Proceedings
Subtitle of host publication2018 IEEE Radio and Wireless Symposium
PublisherIEEE Computer Society
Pages181-183
Number of pages3
ISBN (Electronic)9781538607091
DOIs
StatePublished - Feb 28 2018
Event2018 IEEE Radio and Wireless Symposium, RWS 2018 - Anaheim, United States
Duration: Jan 14 2018Jan 17 2018

Publication series

NameIEEE Radio and Wireless Symposium, RWS
Volume2018-January
ISSN (Print)2164-2958
ISSN (Electronic)2164-2974

Conference

Conference2018 IEEE Radio and Wireless Symposium, RWS 2018
Country/TerritoryUnited States
CityAnaheim
Period01/14/1801/17/18

Keywords

  • Doppler
  • Indoor
  • Kalman Filter
  • Localization
  • Radar
  • Ultra-wideband (UWB)

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