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Novel nonlinear adaptive Doppler shift estimation technique (NADSET) for the coherent Doppler lidar system VALIDAR

机译:用于相干多普勒LIDAR系统validar的新型非线性自适应多普勒频移估计技术(NADSet)

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A novel Nonlinear Adaptive Doppler Shift Estimation Technique (NADSET) is introduced in this paper. The quality of Doppler shift and power estimations by conventional Fourier-transform-based spectrum estimation methods deteriorates rapidly in low signal-to-noise-ratio (SNR) environment. The new NADSET algorithm compensates such deterioration in the quality of wind parameter estimates by adaptively utilizing the statistics of Doppler shift estimate in strong SNR ranges and identifying sporadic range bins where good Doppler shift estimates are found. NADSET is based on the nature of continuous wind profile and significantly improves the accuracy and the quality of Doppler shift estimates in low SNR ranges. The authenticity of NADSET is established by comparing the trend of wind parameters with and without NADSET applied to the lidar returns acquired over a long period of time by the coherent Doppler lidar system VALIDAR at NASA Langley Research Center in Virginia.
机译:本文介绍了一种新型非线性自适应多普勒换估计技术(NADSET)。通过传统的傅立叶变换的频谱估计方法对多普勒换档和功率估计的质量在低信噪比(SNR)环境中迅速劣化。新的NADSet算法通过自适应地利用强SNR范围内的多普勒换档估计的统计数据来补偿风参数估计质量的这种恶化,并识别找到良好的多普勒换档估计的散散范围距离。 NADSET基于连续风剖面的性质,并显着提高了低SNR范围内多普勒频移估计的准确性和质量。通过将风力参数的趋势与应用于弗吉尼亚州NASA Langley研究中心的连贯多普勒LIDAR系统有效性在很长一段时间内获得的LIDAR收集的LIDAR回报来确定NADSET的真实性。

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