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Authors: Gergely Zachár and Gyula Simon

Affiliation: University of Pannonia, Hungary

ISBN: 978-989-758-086-4

ISSN: 2184-4380

Keyword(s): Sensor Network, Localization, Tracking, Radio-interferometry, Prediction.

Related Ontology Subjects/Areas/Topics: Aggregation, Classification and Tracking ; Data Manipulation ; Multi-Sensor Data Processing ; Sensor Data Fusion ; Sensor Networks

Abstract: In this paper a novel robust radio-interferometric object tracking method is proposed. The system contains fixed infrastructure transmitter nodes generating interference signals, the phases of which are measured by the tracked receivers and other fixed infrastructure nodes. From the measured phase values a confidence map is computed, which is used to generate the track of the moving receivers. The proposed method enhances the track estimation by an adaptive evaluation method of the confidence map, and also provides more robust estimation by allowing bad or missing measurements, which are tolerated by predictions extracted from the evolution of the confidence map in time. The performance of the proposed system is illustrated by real measurements.

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Paper citation in several formats:
Zachár, G. and Simon, G. (2015). Prediction-aided Radio-interferometric Object Tracking.In Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-086-4, ISSN 2184-4380, pages 161-168. DOI: 10.5220/0005241501610168

@conference{sensornets15,
author={Gergely Zachár. and Gyula Simon.},
title={Prediction-aided Radio-interferometric Object Tracking},
booktitle={Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2015},
pages={161-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005241501610168},
isbn={978-989-758-086-4},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Prediction-aided Radio-interferometric Object Tracking
SN - 978-989-758-086-4
AU - Zachár, G.
AU - Simon, G.
PY - 2015
SP - 161
EP - 168
DO - 10.5220/0005241501610168

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