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Application of Linearization and Approximation01:29

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A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
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Afterpulse correction algorithm for differential absorption lidar based on grid sampling and optimization.

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    Summary
    This summary is machine-generated.

    This study presents an intelligent algorithm to correct afterpulse effects in differential absorption lidar (DIAL) systems. The method improves atmospheric gas detection accuracy and extends the nighttime detection range.

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    Area of Science:

    • Atmospheric Science
    • Optical Remote Sensing
    • Photonics

    Background:

    • Differential absorption lidar (DIAL) systems monitor atmospheric gases like CO2 and O3.
    • Single-photon detectors in DIAL systems suffer from afterpulse effects, distorting signals and reducing accuracy.
    • Existing calibration methods for afterpulse effects are often insufficient, especially for aging components.

    Purpose of the Study:

    • To develop and validate an intelligent optimized afterpulse correction algorithm for DIAL systems.
    • To mitigate signal distortion caused by afterpulse effects in single-photon detectors.
    • To enable real-time, online evaluation and calibration of afterpulse effects.

    Main Methods:

    • An algorithm utilizing signal response differences between two detectors was developed.
    • The algorithm evaluates detector afterpulse characteristics and applies real-time corrections.
    • Comparative experiments with real lidar signals were conducted to assess performance.

    Main Results:

    • The algorithm effectively mitigates interference from strong afterpulse effects, enhancing signal integrity.
    • Detection performance of DIAL systems was substantially improved.
    • The maximum nighttime detection range of the DIAL system was increased from 1500 m to 2000 m.

    Conclusions:

    • The proposed intelligent afterpulse correction algorithm significantly enhances DIAL system performance.
    • Online evaluation and calibration address aging component issues, unlike traditional methods.
    • This technique improves the accuracy and range of atmospheric gas monitoring using DIAL.