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Comparison of theoretical and empirical statistics of wind measurements with validation lidar (VALIDAR)

机译:使用验证激光雷达(VALIDAR)比较风测量的理论和经验统计

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This paper presents the comparison study of the theoretical and the empirical Cramer-Rao lower bounds (CRLBs) of wind parameter estimates from a 2-μm wavelength coherent Doppler lidar system called VALIDAR located in NASA Langley Research Center in Virginia. The statistical behavior of Doppler shift (DS) estimates in particular is of interest. The estimates are commonly modeled as single-modal Gaussian random variables and this study is based on such convention. The empirical statistics of DS estimates are estimated from a large amount of sample data in order to obtain meaningful statistical moments. The impact of the new nonlinear adaptive Doppler-shift estimation technique known as NADSET is also briefly presented in terms of the statistics of wind parameter estimates.
机译:本文对位于弗吉尼亚州NASA Langley研究中心的2μm波长相干多普勒激光雷达系统称为VALIDAR的风参数估计的理论和经验Cramer-Rao下限(CRLB)进行了比较研究。多普勒频移(DS)估计的统计行为尤其令人关注。通常将估计值建模为单模高斯随机变量,并且本研究基于这种约定。为了获得有意义的统计时刻,需要从大量样本数据中估算出DS估计值的经验统计量。还根据风参数估计的统计信息简要介绍了称为NADSET的新型非线性自适应多普勒频移估计技术的影响。

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