Lookup NU author(s): Dr Paul Haigh
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.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.
Author(s): Alsalami FM, Ahmad Z, Zvanovec S, Haigh PA, Haas OCL, Rajbhandari S
Publication type: Article
Publication status: Published
Online publication date: 21/10/2019
Acceptance date: 16/10/2019
Date deposited: 28/05/2020
ISSN (electronic): 1424-8220
Publisher: MDPI AG
PubMed id: 31640246
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