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A Tikhonov Regularizing Algorithm for Processing Multiwave Lidar Data in the Absence of Information on the Measurement Error

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Measurement Techniques Aims and scope

Abstract

An algorithm is considered for recovering the aerosol size distribution and also the mean (effective) radius and quantitative concentration from optical data: back-scattering and total attenuation coefficients as measured with a certain error δ at various wavelengths. These quantities are connected by a linear integral Fredholm equation of the first kind. A solution is provided by the modified discrepancy, which enables one to estimate the regularization parameter in the absence of information on the error δ.

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Authors
  1. V. I. Alekhnovich
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  2. M. Yu. Korenskii
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  3. S. Yu. Tyumentsev
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  4. A. V. Kolgotin
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Translated from Izmeritel'naya Tekhnika, No. 10, pp. 8–14, October, 2005.

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Alekhnovich, V.I., Korenskii, M.Y., Tyumentsev, S.Y. et al. A Tikhonov Regularizing Algorithm for Processing Multiwave Lidar Data in the Absence of Information on the Measurement Error. Meas Tech 48, 946–954 (2005). https://doi.org/10.1007/s11018-006-0002-2

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  • DOI: https://doi.org/10.1007/s11018-006-0002-2

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