Chinese Journal of Lasers, Volume. 46, Issue 4, 0404004(2019)
Identification Method of Ozone Lidar Hardware Failure Data
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.
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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
Category: measurement and metrology
Received: Nov. 19, 2018
Accepted: Dec. 29, 2018
Published Online: May. 9, 2019
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