The utilization of artificial neural network equalizer in optical camera communications

Younus, Othman Isam and Hassan, Navid Bani and Ghassemlooy, Zabih and Zvanovec, Stanislav and Alves, Luis Nero and Le‐minh, Hoa (2021) The utilization of artificial neural network equalizer in optical camera communications. Sensors, 21 (8). 2826. ISSN 1424-8220 (https://doi.org/10.3390/s21082826)

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Abstract

In this paper, we propose and validate an artificial neural network‐based equalizer for the constant power 4‐level pulse amplitude modulation in an optical camera communications system. We introduce new terminology to measure the quality of the communications link in terms of the number of row pixels per symbol Npps, which allows a fair comparison considering the progress made in the development of the current image sensors in terms of the frame rates and the resolutions of each frame. Using the proposed equalizer, we experimentally demonstrate a non‐flickering system using a single light‐emitting diode (LED) with Npps of 20 and 30 pixels/symbol for the unequalized and equalized systems, respectively. Potential transmission rates of up to 18.6 and 24.4 kbps are achieved with and without the equalization, respectively. The quality of the received signal is assessed using the eye‐diagram opening and its linearity and the bit error rate performance. An acceptable bit error rate (below the forward error correction limit) and an improvement of ~66% in the eye linearity are achieved using a single LED and a typical commercial camera with equalization.

  • Item type:Article
    ID code:76477
    Dates:
    Date
    Event
    16 April 2021
    Published
    14 April 2021
    Accepted
    Subjects:Science > Physics
    Department:Faculty of Science > Physics
    Depositing user: Pure Administrator
    Date deposited:18 May 2021 10:52
    Last modified:09 Apr 2024 02:24
    URI:https://strathprints.strath.ac.uk/id/eprint/76477
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