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Robust nonparametric estimates of spatiotemporal dynamics of wind velocity from data of minisodar measurements

机译:微型声雷达测量数据对风速时空动态的鲁棒性非参数估计

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In the report the spatiotemporal dynamics of three components of wind velocity vector retrieved from Doppler minisodar measurements in the atmospheric boundary layer is analyzed. Robust nonparametric methods of data processing based on the weighed maximum likelihood method (WMLM) are used for analysis. It is demonstrated that the efficiency (mean square error, MSE) of the adaptive estimates of the parameters of wind velocity components measured by the sodar based on the WMLM is much higher that the efficiency of the classical parametric estimates based on the LSM.
机译:在该报告中,分析了在大气边界层中从多普勒微声雷达测量中获取的风速矢量的三个分量的时空动力学。使用基于加权最大似然法(WMLM)的鲁棒的非参数数据处理方法进行分析。结果表明,基于WMLM的声雷达测得的风速分量参数自适应估计的效率(均方误差,MSE)远高于基于LSM的经典参数估计的效率。

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