Inversion of atmospheric turbulence profiles based on generalized Hufnagel-Valley model and DCIM lidar
Twelfth International Conference on Information Optics and Photonics2021Vol. 227, pp. 185–185
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Abstract
Turbulence profile is an important parameter for characterization of atmospheric turbulence intensity at different altitudes. Based on generalized Hufnagel-Valley atmospheric turbulence model and measurement data of DCIM lidar, we first analyzed the difficulties encountered by analytical methods, then a numerical method based on particle swarm optimization algorithm was proposed to retrieval the unknown parameters of generalized Hufnagel-Valley model. To enhance the accuracy of high altitudes, whole layer isoplanatic angle was also as a constraint in the inversion. Moreover,we compared the particle swarm optimization algorithm and Levenberg-Marquardt algorithm in term of inversion accuracy.
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