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    This study introduces a dual-mode switching constant mode-least mean square (CMA-LMS) frequency-domain equalization scheme to improve orbital angular momentum multiplexing communication. The method effectively reduces bit error rate and suppresses crosstalk, enhancing system performance.

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    Area of Science:

    • Optical communication systems
    • Signal processing for optical networks
    • Free-space optical communication

    Background:

    • Orbital angular momentum (OAM) multiplexing enhances channel capacity and spectral efficiency in optical communication.
    • Atmospheric turbulence and mode crosstalk degrade OAM communication system performance.
    • Effective equalization techniques are crucial for mitigating these impairments.

    Purpose of the Study:

    • To investigate the efficacy of a dual-mode switching constant mode-least mean square (CMA-LMS) frequency-domain equalization scheme.
    • To suppress crosstalk and improve performance in a four-channel OAM multiplexed communication system.
    • To evaluate the algorithm's performance using constellation diagrams, bit error rate (BER), computational complexity, and convergence speed.

    Main Methods:

    • Application of a dual-mode switching CMA-LMS frequency-domain equalization algorithm.
    • System performance evaluation through constellation diagrams and BER analysis.
    • Comparative analysis with time-domain CMA-LMS equalization regarding complexity and convergence.

    Main Results:

    • The CMA-LMS frequency-domain equalization effectively reduces system BER and suppresses crosstalk.
    • Significant reduction in computational complexity compared to time-domain CMA-LMS.
    • Faster convergence speed and a 0.3-order-of-magnitude reduction in BER.
    • Error Vector Magnitude (EVM) decreased by 3.6%.

    Conclusions:

    • The proposed CMA-LMS frequency-domain equalization is a viable solution for OAM communication systems.
    • This method offers improved performance in terms of BER and crosstalk suppression.
    • The frequency-domain approach provides computational advantages and faster convergence over time-domain methods.