Research on retrieval algorithm of middle atmospheric temperature using Rayleigh lidar based on Kalman filter

Zheng Ming; Xueming Li; Guofeng Teng; Chonghao Wu; Cao Huang; Qihai Chang

doi:10.1117/12.2651443

10 May 2023 Research on retrieval algorithm of middle atmospheric temperature using Rayleigh lidar based on Kalman filter

Zheng Ming, Xueming Li, Guofeng Teng, Chonghao Wu, Cao Huang, Qihai Chang

Author Affiliations +

Proceedings Volume 12554, AOPC 2022: Advanced Laser Technology and Applications; 125540A (2023) https://doi.org/10.1117/12.2651443
Event: Applied Optics and Photonics China 2022 (AOPC2022), 2022, Beijing, China

Abstract

To improve the reliability of Rayleigh lidar temperature detection, the feasibility of the Kalman filtering method in Rayleigh lidar temperature retrieval under the condition of an unknown model will be studied. The state model is directly determined by the temperature profile of the NRLMSISE-00 standard atmospheric model, and the corresponding simulated lidar echo data are used as input to compare and analyze the temperature retrieval from the state models of different dimensions to verify the feasibility and reliability of the Kalman filter algorithm.

Citation Download Citation

Zheng Ming, Xueming Li, Guofeng Teng, Chonghao Wu, Cao Huang, and Qihai Chang "Research on retrieval algorithm of middle atmospheric temperature using Rayleigh lidar based on Kalman filter", Proc. SPIE 12554, AOPC 2022: Advanced Laser Technology and Applications, 125540A (10 May 2023); https://doi.org/10.1117/12.2651443

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