Affiliation:
1. School of Electrical and Information Engineering, North Minzu University, North Wenchang Road, Yinchuan 750021, China
2. Key Laboratory of Atmospheric Environment Remote Sensing of Ningxia Province, North Wenchang Road, Yinchuan 750021, China
Abstract
Turbulence can cause effects such as light intensity fluctuations and phase fluctuations when a laser is transmitted in the atmosphere, which has serious impacts on a number of optical engineering application effects and on climate improvement. Therefore, accurately obtaining real-time turbulence intensity information using lidar-active remote sensing technology is of great significance. In this paper, based on residual turbulent scintillation theory, a Mie-scattering lidar method was developed to detect atmospheric turbulence intensity. By extracting light intensity fluctuation information from a Mie-scattering lidar return signal, the atmospheric refractive index structure constant, Cn2, representing the atmospheric turbulence intensity, could be obtained. Specifically, the scintillation effect on the detection path was analyzed, and the probability density distribution of the light intensity of the Mie-scattering lidar return signal was studied. It was verified that the probability density of logarithmic light intensity basically follows a normal distribution under weak fluctuation conditions. The Cn2 profile based on Kolmogorov turbulence theory was retrieved using a layered, iterative method through the scintillation index. The method for detecting Kolmogorov turbulence intensity was applied to the detection of the non-Kolmogorov turbulence intensity. Through detection using the scintillation index, the corresponding C˜n2 profile could be calculated. The detection of the C˜n2 and Cn2 profiles were compared with the Hufnagel–Valley (HV) night model in the Yinchuan area. The results show that the detection results are consistent with the overall change trend of the model. In general, it is feasible to detect a non-Kolmogorov turbulence profile using Mie-scattering lidar.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Ningxia Province
Plan for Leading Talents of the State Ethnic Affairs Commission of the People’s Republic of China
Innovation Team of Lidar Atmosphere Remote Sensing of Ningxia Province
the high-level talent selection and training plan of North Minzu University
the special funds for basic scientific research business expenses of central universities of North Minzu University
Graduate Student Innovation Project of North Minzu University
Ningxia First-Class Discipline and Scientific Research Projects
Subject
General Physics and Astronomy
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