Al-Jazzar, SO, Aldalahmeh, SA, McLernon, D orcid.org/0000-0002-5163-1975 et al. (1 more author) (2020) Intruder Localization and Tracking Using Two Pyroelectric Infrared Sensors. IEEE Sensors Journal, 20 (11). pp. 6075-6082. ISSN 1530-437X
Abstract
In this paper, we introduce a method to estimate the range of an intruder and track its trajectory by utilizing the received signal strength of the heat flux for pyroelectric infrared (PIR) sensors. To this end, we first develop a mathematical model of the received heat flux signal strength and the corresponding PIR signal for a moving intruder. The algorithm uses only two PIR sensors and the geometry of the field of views (FOVs) to perform the estimation and tracking process without any knowledge of the intruder's parameters. The tracking algorithm shows remarkable performance in estimating the intruder's parameters. The intruder heat flux was accurately estimated even at large separation distances as was the intruder path angle. Finally, the intruder's location was also very accurately estimated with sub-meter error for large separation distances.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Pyroelectric infrared senso; localization; tracking; received signal strength |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Funding Information: | Funder Grant number British Council, UK Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 24 Aug 2020 12:06 |
Last Modified: | 18 Sep 2020 16:24 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Identification Number: | 10.1109/jsen.2020.2974633 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:164428 |