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[Data Processing Method of Asymmetric Spatial Heterodyne Interferogram for Wind Measurement].

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    Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
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    Doppler asymmetric spatial heterodyne spectroscopy measures upper atmosphere wind speed by analyzing airglow interferograms. Optimal window functions and noise control are crucial for achieving high-precision wind speed detection with minimal error.

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    Area of Science:

    • Atmospheric Physics
    • Spectroscopy
    • Remote Sensing

    Background:

    • Upper atmospheric wind speed is a critical parameter for space weather and climate studies.
    • Traditional methods for wind speed measurement face limitations in precision and data processing.

    Purpose of the Study:

    • To analyze interferogram data processing methods for Doppler asymmetric spatial heterodyne spectroscopy (DASH).
    • To investigate the impact of window functions and system noise on wind speed measurement accuracy.

    Main Methods:

    • Interferogram data processing and interferometer phase derivation.
    • Software simulation of window function effects (type and width) on phase difference and wind error.
    • Simulation of wind error curves considering system noise and flat field factors.

    Main Results:

    • Window functions introduce distortion but Hanning window achieves <0.5% wind speed error with appropriate optical path difference.
    • Wind speed error increases with system noise, highlighting the need for noise control and data preprocessing.
    • Appropriate window function selection and noise management are key to precise wind detection.

    Conclusions:

    • The study provides a robust data processing methodology for DASH wind speed measurements.
    • Optimized data processing significantly enhances the precision of upper atmospheric wind detection.
    • This research has practical value for system design and improving spatial heterodyne wind detection accuracy.