Paper
17 April 2008 Comparison of theoretical and empirical statistics of wind measurements with validation lidar (VALIDAR)
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Abstract
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffrey Y. Beyon, Grady J. Koch, Michael J. Kavaya, and Maninder Sahota "Comparison of theoretical and empirical statistics of wind measurements with validation lidar (VALIDAR)", Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69681N (17 April 2008); https://doi.org/10.1117/12.776907
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CITATIONS
Cited by 8 scholarly publications and 2 patents.
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KEYWORDS
Statistical analysis

LIDAR

Stochastic processes

Solids

Doppler effect

Signal to noise ratio

Wind measurement

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