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https://doi.org/10.1117/12.264...
Article . 2022 . Peer-reviewed
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Matrix polarization lidar for studying the Asian dust: optimal design and calibration problem

Authors: Volkov, Sergey N. (физик); Samokhvalov, Ignatii V.; Kim, Dukhyeon;

Matrix polarization lidar for studying the Asian dust: optimal design and calibration problem

Abstract

The results of experimental determining the morphological and other optical characteristics of the Asian dust show the crucial role of measuring the scattering matrix of particles using a polarization lidar. The accumulated experience of polarization measurements allows the matrix polarization lidar to be designed optimally and the calibration problem to be formulated and solved. Optimality is understood here as simplifying the unit changing the lidar phase plates from four to one plate in the transmitter and receiver. To provide the transition to angular phase plate rotations, the problem of the optimal set of the phase plate states and the problem of measurement sample size are solved. The problem of calibration of the optimal polarization lidar is considered

Country
Russian Federation
Keywords

матрица полного обратного рассеяния, матричные поляризационные лидары, лидарное зондирование

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green