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Effects of noise on lidar data inversion with the backward algorithm

机译:反向算法对噪声对激光雷达数据反演的影响

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摘要

The lidar data-inversion algorithm widely known as the Klett method (and its more elaborate variants) has long been used to invert elastic-lidar data obtained from atmospheric sounding systems. The Klett backward algorithm has also been shown to be robust in the face of uncertainties concerning the boundary condition. Nevertheless electrical noise at the photoreceiver output unavoidably has an impact on the data-inversion process, and describing in an explicit way how it affects retrieval of the atmospheric optical coefficients can contribute to improvement in inversion quality. We examine formally the way noise disturbs backscatter-coefficient retrievals done with the Klett backward algorithm, derive a mathematical expression for the retrieved backscatter coefficient in the presence of noise affecting the signal, and assess the noise impact and suggest ways to limit it.
机译:激光雷达数据反演算法被广泛称为Klett方法(及其更复杂的变体),长期以来一直用于对从大气探测系统获得的弹性激光雷达数据进行反演。面对边界条件的不确定性,Klett向后算法也被证明是鲁棒的。然而,光接收器输出端的电噪声不可避免地会影响数据反演过程,以明确的方式描述其如何影响大气光学系数的检索可有助于提高反演质量。我们正式检查了噪声干扰通过Klett向后算法完成的反向散射系数检索的方式,在存在影响信号的噪声的情况下,为检索到的反向散射系数导出了数学表达式,并评估了噪声影响并提出了限制噪声的方法。

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