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

机译:相干多普勒激光雷达系统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:介绍了一种新颖的非线性自适应多普勒频移估计技术(NADSET)。在低信噪比(SNR)环境中,基于常规傅立叶变换的频谱估计方法所产生的多普勒频移和功率估计质量迅速下降。新的NADSET算法通过自适应地利用强SNR范围内的多普勒频移估计量统计信息,并识别可找到良好多普勒频​​移估计量的零星距离区间,从而弥补了风参数估计质量的这种下降。 NADSET基于连续风廓线的性质,可显着提高低SNR范围内的多普勒频移估计的准确性和质量。 NADSET的真实性是通过比较由弗吉尼亚州NASA兰利研究中心的相干多普勒激光雷达系统VALIDAR在很长一段时间内获取的激光雷达回波获得的和未使用NADSET的风参数的趋势来确定的。

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