臭氧激光雷达硬件故障数据的识别方法
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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。
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.
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.
引文
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[2] Liu Z L,Liu Y C.Fuzzy logic and neural network:theoretical research and exploration[M].Beijing:Beihang University Press,1996.刘增良,刘有才.模糊逻辑与神经网络:理论研究与探索[M].北京:北京航空航天大学出版社,1996.
[3] Zhao R J,Liu L P,Zhang J.The quality control method of erroneous radar echo data generated by hardware fault[J].Journal of Applied Meteorological Science,2015,26(5):578-589.赵瑞金,刘黎平,张进.硬件故障导致雷达回波错误数据质量控制方法[J].应用气象学报,2015,26(5):578-589.
[4] Zhu R.Research and application of Doppler radar observation data quality control method[J].Technology Innovation and Application,2014(27):291.朱睿.多普勒雷达观测资料质量控制方法研究及其应用[J].科技创新与应用,2014(27):291.
[5] Jiang Y.Meteorological radar data quality control study and application[D].Nanjing:Nanjing University of Information Science & Technology,2013.江源.天气雷达观测资料质量控制方法研究及其应用[D].南京:南京信息工程大学,2013.
[6] Zou Q.Discussion of Doppler weather radar data quality control[J].Journal of Southwest University of Science and Technology,2009,24(1):56-61.邹强.多普勒天气雷达数据质量控制方法探讨[J].西南科技大学学报,2009,24(1):56-61.
[7] Ma Z Y,Zhu C Q,Liu X M,et al.Study on CINRAD radar data quality control methods[J].Meteorological Monthly,2010,36(8):134-141.马中元,朱春巧,刘熙明,等.CINRAD雷达数据质量控制方法初探[J].气象,2010,36(8):134-141.
[8] Chen Y,Chen J M,Mao Z Y,et al.Algorithms on quality control of weather radar reflectivity base-data[J].Meteorology and Disaster Reduction Research,2007,30(3):48-51.陈媛,陈江民,毛紫阳,等.天气雷达反射率基数据质量控制的几种算法[J].气象与减灾研究,2007,30(3):48-51.
[9] Shao N,Pei C,Liu C C,et al.Automatic identification system of abnormal radar echoes based on image processing technology[J].Meteorological Science and Technology,2013,41(6):993-997.邵楠,裴翀,刘传才,等.基于图像处理技术自动判别雷达异常产品[J].气象科技,2013,41(6):993-997.
[10] Liu Y,Zhang T S,Xiang Y,et al.Influence of stray light in low blind zone on signal quality of lidar system[J].Chinese Journal of Lasers,2018,45(5):0505001.刘洋,张天舒,项衍,等.低盲区杂散光对激光雷达系统信号质量的影响[J].中国激光,2018,45(5):0505001.
[11] Li B,Hua D X,Zhou Y,et al.Synthetical multilevel quality analysis and control technique for Raman lidar temperature detection[J].Acta Optica Sinica,2017,37(4):0428003.李博,华灯鑫,周艳,等.拉曼激光雷达测温的综合多级质量控制技术[J].光学学报,2017,37(4):0428003.
[12] Pan X M,Chai X M,Cui B J,et al.The method of CINRAD/SB radar echo intensity calibration and adjustment[J].Journal of Applied Meteorological Science,2010,21(6):739-746.潘新民,柴秀梅,崔柄俭,等.CINRAD/SB雷达回波强度定标调校方法[J].应用气象学报,2010,21(6):739-746.
[13] Hu D M,Liu Q,Cheng Y H,et al.Analysis of the multi-fault in conder of servo about CINRAD/SA radar[J].Meteorological Monthly,2007,33(10):114-117.胡东明,刘强,程元慧,等.CINRAD/SA天线伺服系统轴角箱多次故障的分析[J].气象,2007,33(10):114-117.