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Simultaneous Localization and Tracking via Real-time Nonparametric Belief Propagation
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.
Chalmers University of Technology, Sweden.
2013 (English)In: EIII  International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013, IEEE , 2013Conference paper (Refereed)
Abstract [en]

Target tracking in wireless sensor networks is traditionally achieved by localization and tracking (LAT), where the sensors are first localized, and in a later stage the target is tracked. This approach is sub-optimal since the sensor-target observations are not used to refine the position estimates of the sensors. In contrast, simultaneous localization and tracking (SLAT) uses these observations to track the target while simultaneously localizing the sensors. In this paper, we propose a novel centralized SLAT method based on real-time nonparametric belief propagation, which has nearly the same complexity and the same communication cost as LAT, and can provide both sensors' and target's estimated distributions in non-Gaussian form.

Place, publisher, year, edition, pages
IEEE , 2013.
Keyword [en]
Simultaneous localization and tracking, nonparametric belief propagation, wireless sensor networks
National Category
Signal Processing Communication Systems
URN: urn:nbn:se:liu:diva-90015DOI: 10.1109/ICASSP.2013.6638650ISI: 000329611505068OAI: diva2:611167
38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 26-31 May 2013, Vancouver, Canada
Swedish Foundation for Strategic Research eLLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Available from: 2013-04-04 Created: 2013-03-14 Last updated: 2014-02-20Bibliographically approved

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Savic, Vladimir
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Communication SystemsThe Institute of Technology
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