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Experimental Study of Indoor Tracking Using UWB Measurements and Particle Filtering
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2016 (English)In: 2016 IEEE 17TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), IEEE , 2016Conference paper, Published paper (Refereed)
Abstract [en]

Target tracking with ultra-wideband (UWB) signals in indoor environments is a challenging problem due to the presence of multipath and non-line-of-sight conditions (NLOS). A solution to this problem is to use particle filtering (PF), which is able to handle both nonlinear models and non-Gaussian uncertainties that typically appear in the presence of NLOS. In this paper, we compare four different PF variants, that differ in terms of how  NLOS measurements are handled. According to our experimental results, based on the measurements from a basement tunnel,    multiple features from the UWB impulse response should be used, and  the ranging likelihood function should make use of both LOS and NLOS measurements. Standard time-of-arrival (TOA) based methods, even with NLOS rejection, are not good enough. Instead we advocate TOA-based algorithms that can actively mitigate errors due to NLOS.

Place, publisher, year, edition, pages
IEEE , 2016.
Series
IEEE International Workshop on Signal Processing Advances in Wireless Communications, ISSN 2325-3789
Keyword [en]
target tracking, ultra-wideband, particle filtering, machine learning, time of arrival
National Category
Communication Systems Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-128263DOI: 10.1109/SPAWC.2016.7536853ISI: 000382942700128OAI: oai:DiVA.org:liu-128263DiVA: diva2:930480
Conference
17th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2016), 3-6 July 2016, Edinburgh, UK
Projects
COOPLOC
Funder
Swedish Foundation for Strategic Research ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Available from: 2016-05-24 Created: 2016-05-24 Last updated: 2016-11-21

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Savic, VladimirLarsson, Erik G.

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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