Data Rate Enhancement in Optical Camera Communications Using an Artificial Neural Network Equaliser
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00340234" target="_blank" >RIV/68407700:21230/20:00340234 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ACCESS.2020.2976537" target="_blank" >https://doi.org/10.1109/ACCESS.2020.2976537</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2020.2976537" target="_blank" >10.1109/ACCESS.2020.2976537</a>
Alternative languages
Result language
angličtina
Original language name
Data Rate Enhancement in Optical Camera Communications Using an Artificial Neural Network Equaliser
Original language description
In optical camera communication (OCC) systems leverage on the use of commercial off-the-shelf image sensors to perceive the spatial and temporal variation of light intensity to enable data transmission. However, the transmission data rate is mainly limited by the exposure time and the frame rate of the camera. In addition, the camera’s sampling will introduce intersymbol interference (ISI), which will degrade the system performance. In this paper, an artificial neural network (ANN)-based equaliser with the adaptive algorithm is employed for the first time in the field of OCC to mitigate ISI and therefore increase the data rate. Unlike other communication systems, training of the ANN network in OCC is done only once in a lifetime for a range of different exposure time and the network can be stored with a look-up table. The proposed system is theoretically investigated and experimentally evaluated. The results record the highest bit rate for OCC using a single LED source and the Manchester line code (MLC) non-return to zero (NRZ) encoded signal. It also demonstrates 2 to 9 times improved bandwidth depending on the exposure times where the system’s bit error rate is below the forward error correction limit.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Access
ISSN
2169-3536
e-ISSN
2169-3536
Volume of the periodical
8
Issue of the periodical within the volume
Feb
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
42656-42665
UT code for WoS article
000525390500014
EID of the result in the Scopus database
2-s2.0-85081561072