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

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

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...

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Bibliographic Details
Published in:Measurement techniques Vol. 48; no. 10; pp. 946 - 954
Main Authors: Alekhnovich, V. I., Korenskii, M. Yu, Tyumentsev, S. Yu, Kolgotin, A. V.
Format: Journal Article
Language:English
Published: New York Springer Nature B.V 01-10-2005
Subjects:
Aerosols
Algorithms
Attenuation coefficients
Error analysis
Errors
Fredholm equations
Lidar
Measurement techniques
Optical measuring instruments
Studies
Wavelengths
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Summary: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.[PUBLICATION ABSTRACT]
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0543-1972
1573-8906
DOI:10.1007/s11018-006-0002-2