• Chinese Journal of Lasers
  • Vol. 46, Issue 4, 0404004 (2019)
Zhaoyang Zheng1、2、*, Tianshu Zhang1、*, Guangqiang Fan1, Yang Liu1, Lihui Lü3, and Yan Xiang3
Author Affiliations
  • 1 Key Laboratory of Environment Optics and Technology, Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2 University of Science and Technology of China, Hefei, Anhui 230037, China
  • 3 Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230039, China
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    DOI: 10.3788/CJL201946.0404004 Cite this Article Set citation alerts
    Zhaoyang Zheng, Tianshu Zhang, Guangqiang Fan, Yang Liu, Lihui Lü, Yan Xiang. Identification Method of Ozone Lidar Hardware Failure Data[J]. Chinese Journal of Lasers, 2019, 46(4): 0404004 Copy Citation Text show less

    Abstract

    The echo characteristics of the atmospheric ozone detection laser lidar in the event of hardware failure are analyzed. According to the echo shape and intensity of the radar, we use the fuzzy logic-based quality control method to identify and test the lidar hardware failure data. The recognition rate reaches 93%, which means that the method can better realize the quality control of hardware failure data. The mean values of ozone concentration and signal-to-noise ratio (SNR) at the height of 300-500 m of hardware failure data and misjudged normal are compared. The statistical characteristics are found and the false positive rate for data without hardware failure is reduced.
    Zhaoyang Zheng, Tianshu Zhang, Guangqiang Fan, Yang Liu, Lihui Lü, Yan Xiang. Identification Method of Ozone Lidar Hardware Failure Data[J]. Chinese Journal of Lasers, 2019, 46(4): 0404004
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