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Data processing error analysis based on Doppler asymmetric spatial heterodyne measurement.

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    Minimizing wind speed retrieval errors in the upper atmosphere is crucial. Using a Nuttall window with a small width in Doppler asymmetric spatial heterodyne (DASH) interferometry significantly reduces these errors.

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    Area of Science:

    • Atmospheric physics and remote sensing
    • Interferometry and optical instrumentation

    Background:

    • The Doppler asymmetric spatial heterodyne (DASH) interferometer is a key instrument for measuring upper atmospheric winds.
    • Increasing precision in wind speed retrieval is hindered by significant data processing errors.
    • Understanding the impact of windowing parameters on interferogram isolation is essential for improving accuracy.

    Purpose of the Study:

    • To theoretically analyze the influence of window parameters on isolated interferograms within the DASH system.
    • To experimentally validate the impact of different window types and widths on wind speed retrieval accuracy.
    • To identify optimal windowing strategies for minimizing wind speed retrieval errors.

    Main Methods:

    • Theoretical derivation of window parameter influence on interferogram isolation.
    • Establishment of a DASH system for experimental sampling.
    • Calculation of phase and wind speed using various window types (e.g., Nuttall) and widths.
    • Analysis of interferograms with small shifts.

    Main Results:

    • The choice of window parameters significantly affects the isolated interferogram quality.
    • Different window types and widths yield varying degrees of wind retrieving error.
    • Experimental data confirmed the theoretical predictions regarding window influence.

    Conclusions:

    • Selecting the appropriate window function is critical for accurate wind speed retrieval using DASH interferometry.
    • The Nuttall window, particularly with a small width, demonstrably minimizes wind retrieving errors.
    • This finding provides a practical method for enhancing the precision of upper atmospheric wind measurements.