Indoor Intruder Tracking Using Visible Light Communications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00334381" target="_blank" >RIV/68407700:21230/19:00334381 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3390/s19204578" target="_blank" >https://doi.org/10.3390/s19204578</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s19204578" target="_blank" >10.3390/s19204578</a>
Alternative languages
Result language
angličtina
Original language name
Indoor Intruder Tracking Using Visible Light Communications
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
—
Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sensors
ISSN
1424-8220
e-ISSN
1424-8220
Volume of the periodical
19
Issue of the periodical within the volume
20
Country of publishing house
CH - SWITZERLAND
Number of pages
14
Pages from-to
—
UT code for WoS article
000497864700226
EID of the result in the Scopus database
2-s2.0-85073744682