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Backscatter signals in underwater lidars: temporal and frequency features.

Alexander G Luchinin, Mikhail Yu Kirillin, Lev S Dolin

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    |February 6, 2018
    PubMed
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    This study analyzes underwater lidar backscatter signals using Monte Carlo simulations. Results show frequency-dependent behavior and agreement with analytical models, though high-frequency differences highlight interference effects.

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    Area of Science:

    • Optics
    • Oceanography
    • Remote Sensing

    Background:

    • Underwater lidar systems are crucial for oceanic research.
    • Understanding backscatter signal characteristics is key to accurate data interpretation.
    • Existing analytical models have limitations in complex scenarios.

    Purpose of the Study:

    • To investigate the formation of backscatter signals in underwater lidar.
    • To analyze the temporal and frequency characteristics of these signals.
    • To compare simulation results with analytical approximations.

    Main Methods:

    • Utilizing the Monte Carlo technique for simulating backscatter signal formation.
    • Analyzing temporal and frequency responses of the backscattered signal.
    • Comparing Monte Carlo results with analytical expressions derived from small-angle approximation.

    Main Results:

    • Both frequency and phase responses exhibit similar dependencies, with stronger frequency dependence at higher frequencies.
    • Beats in the frequency response, caused by dephasing, are observed at high frequencies.
    • Monte Carlo simulations align well with small-angle approximation analytical expressions, but discrepancies arise at high frequencies due to interference.

    Conclusions:

    • The Monte Carlo technique provides a robust method for analyzing underwater lidar backscatter.
    • Interference effects significantly impact high-frequency responses, necessitating advanced modeling.
    • Phase response shows good agreement across frequencies, offering a reliable parameter for analysis.