Indoor Intruder Tracking Using Visible Light Communications

This paper proposes a comprehensive study of indoor intruder tracking using visible light communication (VLC). A realistic indoor VLC channel was developed, taking into consideration reflections, shadowing, and ambient noise. The intruder was considered smart and aiming to escape tracking. This was...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Vol. 19; no. 20; p. 4578
Main Authors: Alsalami, Farah, Ahmad, Zahir, Zvanovec, Stanislav, Haigh, Paul, Haas, Olivier, Rajbhandari, Sujan
Format: Journal Article
Language:English
Published: Basel MDPI AG 21.10.2019
MDPI
Subjects:
Accuracy
Algorithms
Communication
indoor vlc channel
intruder tracking
kalman filter
Light emitting diodes
minimax filter
Noise
Performance evaluation
Propagation
Receivers & amplifiers
state estimation
Surveillance
Transmitters
visible light communication
ISSN:1424-8220, 1424-8220
Online Access:Get full text
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Summary:This paper proposes a comprehensive study of indoor intruder tracking using visible light communication (VLC). A realistic indoor VLC channel was developed, taking into consideration reflections, shadowing, and ambient noise. The intruder was considered smart and aiming to escape tracking. This was modelled by adding noise and disturbance to the intruder’s trajectory. We propose to extend the application of minimax filtering from state estimation in the radio frequency (RF) domain to intruder tracking using VLC. The performance of the proposed method was examined and compared with Kalman filter for both VLC and RF. The simulation results showed that the minimax filter provided marginally better tracking and was more robust to the adversary behavior of the intruder than Kalman filter, with less than 0.5 cm estimation error. In addition, minimax was significantly better than Kalman filter for RF tracking applications.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s19204578