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Underwater wireless optical communication utilizing low-complexity sparse pruned-term-based nonlinear

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    We developed new methods to reduce complexity in underwater optical communication systems. These techniques improve performance by simplifying nonlinear equalization for light-emitting diodes.

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    Area of Science:

    • Optical Engineering
    • Communications Engineering
    • Signal Processing

    Background:

    • Nonlinearity in light-emitting diodes (LEDs) significantly limits performance in underwater wireless optical communication (UWOC) systems.
    • Conventional Volterra series-based nonlinear equalization methods are computationally complex, especially for higher-order nonlinearities or extended memory.
    • Effective equalization is crucial for reliable UWOC system operation.

    Purpose of the Study:

    • To propose and experimentally validate novel, low-complexity nonlinear equalization schemes for LED-based UWOC systems.
    • To mitigate the performance degradation caused by LED nonlinearity while reducing computational overhead.
    • To assess the robustness of the proposed schemes in varying water turbidity conditions.

    Main Methods:

    • Development of a sparse pruned-term-based nonlinear decision-feedback equalization (SPT-NDFE) scheme by selectively retaining dominant Volterra series terms.
    • Introduction of a sparse pruned-term-based absolute operation nonlinear decision-feedback equalization (SPT-ANDFE) scheme, replacing product terms with absolute operations for further complexity reduction.
    • Experimental demonstration and performance evaluation of both SPT-NDFE and SPT-ANDFE schemes in an LED-based UWOC system.

    Main Results:

    • The SPT-NDFE scheme achieved comparable performance to conventional nonlinear decision-feedback equalization (NDFE) with a 63.63% reduction in nonlinear coefficients.
    • The SPT-ANDFE scheme offered further complexity reduction at the cost of a slight performance decrease.
    • Both proposed schemes demonstrated robustness across different water turbidity levels.

    Conclusions:

    • The proposed SPT-NDFE and SPT-ANDFE equalization schemes offer significant complexity reduction for LED-based UWOC systems.
    • These low-complexity, high-performance equalization techniques are well-suited for power/energy-sensitive UWOC applications.
    • The developed methods provide a practical solution for enhancing UWOC system reliability and efficiency.