标题： 用于外差测风激光雷达空间超分辨率的贝叶斯方法 显示英文标题

标题： Bayesian approach for spatial super-resolution of heterodyne wind lidars

摘要： 利用外差激光雷达进行风速测量在空间分辨率上受到当前信号处理方法的限制。这种限制等于 c $\tau$ (c 是光速，$\tau$是激光脉冲持续时间)，这对应于在某一距离处对风速测量有贡献的大气长度。为了超越这一限制，我们采用基于频谱图模型（每个距离的周期图的拼接）和我们未知量上的先验分布（每个距离的后向散射振幅和风速）的反问题方法。我们将我们的反演方法应用于模拟和实验频谱图，证明了分辨率提高了2到2.5倍，具体取决于信噪比。 显示英文摘要

摘要： Wind speed measurements using heterodyne lidars are limited in spatial resolution because of the current signal processing methods. This limit is equal to c $\tau$ ( c is the speed of light and $\tau$ is the laser pulse duration) corresponding to the length of the atmosphere contributing to the wind speed measurement at one distance. To go beyond this limit, we use an inverse problem approach based on a model of the spectrogram (concatenation of periodograms of each range) and prior distributions on our unknowns: backscattering amplitude and wind speed at each range. We apply our inversion method to simulated and experimental spectrograms, demonstrating a gain in resolution by a factor of 2 to 2.5 depending on the signal-to-noise ratio.