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    New algorithms enhance vehicle communication reliability using visible light. The frame subtraction and channel inversion (FSCI) scheme offers comparable performance to existing methods with simpler receivers.

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    Area of Science:

    • Optical Wireless Communications
    • Wireless Communication Systems

    Background:

    • Increasing vehicle numbers necessitate advanced communication systems.
    • Visible Light Communications (VLC) offers a complementary solution to crowded radio-frequency networks.

    Purpose of the Study:

    • To propose novel algorithms for reliable data extraction in non-line-of-sight (NLOS) multiple-input-multiple-output (MIMO) VLC systems.
    • To enhance data extraction reliability in optical camera communications (OCC).

    Main Methods:

    • Development of two novel algorithms: Channel Inversion (CI) and Frame Subtraction and CI (FSCI).
    • Utilizing differential modulation, frame subtraction, and a unique packet structure for transmitter (Tx) identification.
    • Implementation in a NLOS MIMO spatial-division multiplexing OCC system.

    Main Results:

    • The FSCI scheme achieves comparable Bit Error Rate (BER) performance to Hybrid Selection/Equal Gain Combining (HS/EGC) with simpler receiver structures.
    • FSCI demonstrates improved performance at higher illumination levels (>20dBm) for multiple Txs compared to HS/EGC.
    • CI schemes exhibit greater tolerance to Tx spacing than HS/EGC, allowing a fixed payload threshold.

    Conclusions:

    • The proposed FSCI algorithm provides a reliable and efficient method for data extraction in VLC systems.
    • FSCI offers a practical alternative to HS/EGC, especially in scenarios with varying illumination levels and multiple transmitters.
    • The CI-based approaches enhance the robustness of VLC systems against transmitter spacing variations.