Indoor Intruder Tracking Using Visible Light Communications
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
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Yn: Sensors, Cyfrol 19, Rhif 20, 21.10.2019.
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
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TY - JOUR
T1 - Indoor Intruder Tracking Using Visible Light Communications
AU - Al Sallami, Farah Mahdi Yaseen
AU - Ahmad, Zahir
AU - Zvanovec, Stanislav
AU - Haigh, Paul Anthony
AU - Haas, Olivier
AU - Rajbhandari, Sujan
N1 - This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
PY - 2019/10/21
Y1 - 2019/10/21
N2 - 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.
AB - 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.
KW - Indoor VLC channel
KW - Intruder tracking
KW - Kalman filter
KW - Minimax filter
KW - State estimation
KW - Visible light communication
U2 - 10.3390/s19204578
DO - 10.3390/s19204578
M3 - Article
VL - 19
JO - Sensors
JF - Sensors
SN - 1424-8220
IS - 20
ER -