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Experimental Evaluation of an Analog Gain Optimization Algorithm in Optical Camera Communications

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00343837" target="_blank" >RIV/68407700:21230/20:00343837 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CSNDSP49049.2020.9249441" target="_blank" >http://dx.doi.org/10.1109/CSNDSP49049.2020.9249441</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CSNDSP49049.2020.9249441" target="_blank" >10.1109/CSNDSP49049.2020.9249441</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Experimental Evaluation of an Analog Gain Optimization Algorithm in Optical Camera Communications

  • Original language description

    The operation of Optical Camera Communication systems in outdoor conditions is challenged by interfering sources of light and optical attenuation induced by the atmosphere. The low signal power at the receiver is prone to be affected by the quantization noise at the analog-to-digital converter. In this paper, an algorithm for optimizing the camera’s analog gain has been experimentally evaluated under laboratory conditions. The image quality improvement is estimated by Pearson’s correlation coefficient to a template signal, and it is shown to improve the signal-to-noise ratio up to 27.8 dB.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • 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

  • Article name in the collection

    International Symposium on Communication Systems, Networks and Digital Signal Processing, CNSDSP 2020

  • ISBN

    978-1-7281-6743-5

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

    Porto

  • Event location

    Porto

  • Event date

    Jul 20, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article