Acta Optica Sinica, Volume. 42, Issue 18, 1828006(2022)

Calibration Method for System Constants of Horizontal Detection Fluorescence Lidar

Yinchao Zhang, Yangcheng Ma, Siying Chen*, He Chen**, Pan Guo, Wangshu Tan, Daoming Li, and Xian Yang
Author Affiliations
  • School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
  • show less

    Horizontal detection fluorescence lidar is an effective tool to observe atmospheric organic aerosols, and the calibration of its system constants is the key to obtaining the concentration of organic aerosols with fluorescence echo signals by inversion. A calibration method for the system constants of horizontal detection fluorescence lidar based on the fluorescence-Mie scattering echo signal intensity ratio is proposed. The proposed method uses the fluorescence-Mie scattering echo signal intensity ratio attained by horizontal detection and the aerosol concentration data measured by the particle counter at fixed points to obtain the system constants of the lidar, and thereby reduce the influence of the system geometry factor. The accuracy and stability of the proposed method are verified by a comparison with the traditional calibration method in the numerical calculation. Its feasibility and effectiveness are proved by a practical calibration experiment with a fluorescence-Mie scattering dual-channel lidar for horizontal near-field detection. The results show that the proposed method not only can effectively reduce the influence of the geometrical factor on calibration accuracy, but also offers better stability.

    Tools

    Get Citation

    Copy Citation Text

    Yinchao Zhang, Yangcheng Ma, Siying Chen, He Chen, Pan Guo, Wangshu Tan, Daoming Li, Xian Yang. Calibration Method for System Constants of Horizontal Detection Fluorescence Lidar[J]. Acta Optica Sinica, 2022, 42(18): 1828006

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Remote Sensing and Sensors

    Received: Feb. 9, 2022

    Accepted: Apr. 15, 2022

    Published Online: Sep. 15, 2022

    The Author Email: Chen Siying (csy@bit.edu.cn), Chen He (shinianshao@bit.edu.cn)

    DOI:10.3788/AOS202242.1828006

    Topics