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 -