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Authors: Gergely Zachár and Gyula Simon

Affiliation: University of Pannonia, Hungary

ISBN: 978-989-758-169-4

Keyword(s): Sensor Network, Localization, Tracking, Radio-interferometry, Phase Distortion, Fault Tolerance.

Related Ontology Subjects/Areas/Topics: Data Manipulation ; Multi-Sensor Data Processing ; Sensor Data Fusion ; Sensor Networks

Abstract: Recently radio-interferometric object tracking methods were proposed, which apply inexpensive radio transmitter and receiver nodes to generate and measure radio-interferometric signals. The measured phase values can be used to track the position of one or more moving receivers. In these methods the ideal phase values, calculated from the position of the nodes, are heavily used. Unfortunately, multipath effects in indoor environments can significantly distort the ideal phase values, thus the accuracy and robustness of the former radio-interferometric methods is challenged. In this paper a novel position estimation method is proposed, which is less sensitive and thus more robust to distortions of radio-interferometric space. The performance of the proposed algorithm is compared to that of earlier radio-interferometric object tracking methods using simulations and real measurements.

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Paper citation in several formats:
Zachár, G. and Simon, G. (2016). Towards Distortion-tolerant Radio-interferometric Object Tracking.In Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-169-4, pages 207-213. DOI: 10.5220/0005761702070213

author={Gergely Zachár. and Gyula Simon.},
title={Towards Distortion-tolerant Radio-interferometric Object Tracking},
booktitle={Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS,},


JO - Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS,
TI - Towards Distortion-tolerant Radio-interferometric Object Tracking
SN - 978-989-758-169-4
AU - Zachár, G.
AU - Simon, G.
PY - 2016
SP - 207
EP - 213
DO - 10.5220/0005761702070213

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