Inversion of atmospheric turbulence profiles based on generalized Hufnagel-Valley model and DCIM lidar

Zhi Cheng; Li-xin He; Chao Mu; Xin Zhang; Xu Jing; Jia-bing Zhu

doi:10.1117/12.2606700

1 November 2021 Inversion of atmospheric turbulence profiles based on generalized Hufnagel-Valley model and DCIM lidar

Zhi Cheng, Li-xin He, Chao Mu, Xin Zhang, Xu Jing, Jia-bing Zhu

Proceedings Volume 12057, Twelfth International Conference on Information Optics and Photonics; 120573V (2021) https://doi.org/10.1117/12.2606700
Event: Twelfth International Conference on Information Optics and Photonics, 2021, Xi'an, China

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.

Citation Download Citation

Zhi Cheng, Li-xin He, Chao Mu, Xin Zhang, Xu Jing, and Jia-bing Zhu "Inversion of atmospheric turbulence profiles based on generalized Hufnagel-Valley model and DCIM lidar", Proc. SPIE 12057, Twelfth International Conference on Information Optics and Photonics, 120573V (1 November 2021); https://doi.org/10.1117/12.2606700

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