利用Doppler Radars改进瞬态现象的观测：海洋和大气传感的通用框架
Improved Observation of Transient Phenomena with Doppler Radars: a Common Framework for Oceanic and Atmospheric Sensing
摘要：
多普勒雷达通常用于遥感海洋表层洋流和大气风廓线。尽管它们以不同的频率工作并处理不同的介质，但它们遵循非常相似的处理来提取测量的速度。特别是，他们都面临着具有挑战性的问题，捕捉地球物理现象的变化迅速，相对于典型的集成时间。最近，作者应用一种基于自回归过程的非谱形式主义来模拟从高频海洋雷达获得的后向散射时间序列。他们表明，它允许在非常短的积分时间内计算多普勒频谱，而不会损失频率分辨率或信噪比。我们将这种技术应用于一个共同的框架内的合成和实验数据，并首次显示了强大的潜力的瞬态大气现象的研究方法。
英文摘要：
Doppler radars are routinely used for the remote sensing of oceanic surface currents and atmospheric wind profiles. Even though they operate at different frequencies and address different media, they follow very similar processing for the extraction of measured velocities. In particular they both face the challenging issue of capturing geophysical phenomena which vary rapidly with respect to the typical integration time. Recently, the authors applied a non-spectral formalism based on autoregressive processes to model the backscattered time series obtained from High-Frequency oceanic radars. They showed that it allows to calculate Doppler spectra for very short integration times without losing in frequency resolution nor signal-to-noise ratio. We apply this technique to synthetic and experimental data within a common framework and show for the first time the strong potential of the method for the study of transient atmospheric phenomena.
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