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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Optical wireless communication performance enhancement using Hamming coding and an efficient adaptive equalizer with

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    This study introduces an efficient optical wireless communication (OWC) framework for Africa, enhancing data transmission robustness using channel coding and adaptive equalization. The framework is suitable for indoor and outdoor environments, improving performance for image and video communication.

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    Area of Science:

    • Optical Wireless Communication (OWC)
    • Information Theory
    • Signal Processing

    Background:

    • Radio frequency limitations necessitate alternative communication technologies like OWC.
    • Indoor OWC faces noise and intersymbol interference (ISI) due to multipath effects, limiting data rates.
    • Outdoor OWC is susceptible to various physical impairments affecting transmission quality.

    Purpose of the Study:

    • To introduce an efficient and robust OWC framework for developing African countries, applicable to both indoor and outdoor environments.
    • To investigate and compare channel coding techniques (Hamming, LDPC) with asymmetrically clipped DC-offset optical orthogonal frequency-division multiplexing (ADO-OFDM).
    • To develop and evaluate adaptive channel estimation and equalization schemes to mitigate ISI, and propose a novel image-based quality assessment method.

    Main Methods:

    • Utilized Hamming and low-density parity check (LDPC) channel coding with ADO-OFDM.
    • Implemented adaptive recursive least-squares (RLS) and least mean squares (LMS) algorithms for channel estimation and equalization, incorporating activity detection and tap decoupling.
    • Developed a quality assessment scenario using a trained convolutional neural network (CNN) for evaluating transmitted images.

    Main Results:

    • Compared the performance and complexity of Hamming and LDPC coding techniques at various coding rates.
    • Demonstrated the effectiveness of adaptive RLS and LMS algorithms against standard methods for combating ISI.
    • Validated the proposed OWC framework's suitability for image and video communication with high performance and simplicity.

    Conclusions:

    • The proposed OWC framework offers a high-performance, simple-to-implement solution for developing African nations.
    • Channel coding and adaptive equalization are crucial for robust OWC performance in diverse environments.
    • The novel image-based quality assessment using CNN provides an effective means for evaluating OWC system performance.