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

Volkov, S. N.; Samokhvalov, I. V.; Kim, Dukhyeon

doi:10.1117/12.2643241

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…As was shown in [5], the methods and means of remote control of the atmospheric state are continuously improving. Lidar sensing allows obtaining up-to-date information on aerosol impurities in the atmosphere and estimating the spatial-temporal dynamics of their spread and transformation of their parameters [6][7][8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Fiber Lidar for Control of the Ecological State of the Atmosphere

Volkov,

Zaitsev,

Park

et al. 2024

Atmosphere

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Methods and means of remote control of the ecological state of the atmosphere are constantly improving. Lidar sensing allows obtaining up-to-date information about natural and technogenic sources of atmospheric pollution. There is a wide range of problems in ecological control, where the deployment of an inexpensive mobile lidar network is required. For this purpose, it is suggested to use Q-switch and MOPA fiber lasers in lidars. Q-switch fiber lasers have a simpler design and are more practical to use. However, pulses from Q-switch lasers have long full-pulse durations. In the present work, a lidar signal inversion method (LSIM) is proposed for solving this problem. Verification and outdoor experimentation of the LSIM was carried out with the reference signal method (RSM). The advantage of the proposed RSM is the minimum number of controllable parameters necessary for LSIM verification and approbation. As a result, the accuracy of the obtained results increased. Thus, the possibility of application of the Q-switch fiber lasers for lidar sensing is shown both theoretically and experimentally.

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Section: Introductionmentioning

confidence: 99%

Fiber Lidar for Control of the Ecological State of the Atmosphere

Volkov,

Zaitsev,

Park

et al. 2024

Atmosphere

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Calibration by Air in Polarization Sensing

2022

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Scattered light polarization serves as an indicator and a characteristic of various processes in the atmosphere. The polarization measurements of all scattering matrix elements provide an adequate description of the optical and morphological parameters and orientation of particles in clouds. In this article, we consider the problem of the calibration of matrix polarization lidar (MPL) parameters. Calibration by air is an effective alternative to the technique for correcting optical element parameters and among the calibration parameters of the MPL optical path are the relative transmission coefficient of a two-channel receiver, the angular positions of the transmission axes of the optical elements of the transmitter and receiver units, including the polarizers and wave plates, and the retardance of wave plates. For the first time, the method of calibration by air was partially implemented in the MPL to study Asian dust in the atmosphere. We considered the calibration problem more generally and this was due to the need to calibrate different MPL modifications from stationary to mobile ones. The calibration equations have been derived in terms of instrumental vectors, and the method of their solution by the generalized least squares method has been proposed. The method has been verified on a numerical MPL model and validated using MPL measurements in Daejeon, Republic of Korea.

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

Cited by 2 publications

References 5 publications

Fiber Lidar for Control of the Ecological State of the Atmosphere

Fiber Lidar for Control of the Ecological State of the Atmosphere

Calibration by Air in Polarization Sensing

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