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Adaptive iterative optimization inversion method for plume extinction coefficient of Mie-scattering lidar.

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    The dual iterative ratio (DIR) method accurately retrieves plume extinction coefficients using lidar data. This new algorithm offers real-time detection for environmental and health monitoring, even in low signal conditions.

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    Area of Science:

    • Atmospheric science
    • Optical remote sensing
    • Environmental monitoring

    Background:

    • Accurate real-time inversion of plume extinction coefficient is crucial for remote sensing, environmental protection, and health security.
    • Existing methods may struggle with low signal-to-noise ratios (SNR) or require complex calibration.
    • A need exists for robust and efficient algorithms to address technical gaps in plume characterization.

    Purpose of the Study:

    • To introduce and validate the dual iterative ratio (DIR) method for retrieving the plume extinction coefficient.
    • To assess the DIR method's performance under various conditions, including low SNR, varying concentrations, and optical misalignment.
    • To compare the DIR method's accuracy and efficiency against classical inversion algorithms.

    Main Methods:

    • The DIR method utilizes the ratio of Mie scattering echo signal to background signal with adaptive iterative optimization.
    • Simulations were conducted to evaluate performance under different SNRs, plume concentrations, and lidar ratios.
    • Experimental validation was performed using a coaxial transceiver lidar system, assessing sensitivity to geometric factors.

    Main Results:

    • The DIR method demonstrated good performance under low SNR conditions, with an average relative error < 0.343 when SNR > 10.
    • The algorithm showed insensitivity to geometric factor changes due to optical misalignment (4.55% error change with 1.0 mrad offset).
    • Experimental results showed a strong correlation with classical methods, achieving a superior average relative error of 0.131 and a computation time of 80.8ms.

    Conclusions:

    • The DIR method provides a convenient, accurate, and real-time approach for obtaining the plume extinction coefficient.
    • This algorithm addresses a significant technical gap, enhancing capabilities in remote sensing and environmental monitoring.
    • The DIR method's robustness and efficiency make it suitable for practical, real-time detection systems.