中国激光, 2019, 46(4): 0404004, 网络出版: 2019-05-09

臭氧激光雷达硬件故障数据的识别方法

Identification Method of Ozone Lidar Hardware Failure Data
作者单位

1中国科学院安徽光学精密机械研究所环境光学与技术重点实验室, 安徽 合肥 230031

2中国科学技术大学, 安徽 合肥 230037

3安徽大学物质科学与信息技术研究院, 安徽 合肥 230039

摘要
对大气臭氧探测激光雷达出现硬件故障时的回波特征进行了分析。根据回波形态和雷达强度等,采用基于模糊逻辑的质量控制方法,对雷达硬件故障数据进行了识别检验,识别率高达93%,即能较好地实现对硬件故障数据的质量控制。比较了硬件故障时的数据和被误判的正常数据在300~500 m高度上对应的臭氧浓度和信噪比均值,找出统计特性,降低了对正常数据的误判率。
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.
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