基于激光雷达的垂直能见度反演算法及其误差评估

宋海润; 王晓蕾; 李浩; 宋海润; 王晓蕾; 李浩

doi:10.11884/HPLPB202032.190250

[1]

中国气象局. 地面气象观测规范[M]. 北京: 气象出版社, 2003.

China Meteorological Administration. Ground weather observation criterion. Beijing: China Meteorological Press, 2003

[2]

冯帅, 蒋立辉, 熊兴隆, 等. 含有突变信号的激光雷达能见度反演[J]. 红外与激光工程, 2017, 46(3):222-228. (Feng Shuai, Jiang Lihui, Xiong Xinglong, et al. Lidar visibility inversion with breakpoint signal[J]. Infrared and Laser Engineering, 2017, 46(3): 222-228

[3]

熊兴隆, 闫朴, 蒋立辉, 等. 测风激光雷达应用于机场能见度及云底高探测[J]. 激光与红外, 2010, 40(8):817-820. (Xiong Xinglong, Yan Pu, Jiang Lihui, et al. Application of wind lidar in detection of the airport’s visibility and cloud base height[J]. Laser and Infrared, 2010, 40(8): 817-820 doi: 10.3969/j.issn.1001-5078.2010.08.004

[4]

吕炜煜, 苑克娥, 魏旭, 等. 对流层气溶胶和水汽的车载激光雷达系统的探测[J]. 红外与激光工程, 2016, 45(3):200-206. (Lü Weiyu, Yuan Ke’e, Wei Xu, et a1. A mobile lidar system for aerosol and water vapor detection in troposphere with mobile lidar[J]. Infrared and Laser Engineering, 2016, 45(3): 200-206

[5]

熊兴隆, 蒋立辉, 冯帅. Mie散射激光雷达回波信号处理方法[J]. 红外与激光工程, 2012, 41(1):89-95. (Xiong Xinglong, Jiang Lihui, Feng Shuai. Return signals processing method of Mie scattering lidar[J]. Infrared and Laser Engineering, 2012, 41(1): 89-95 doi: 10.3969/j.issn.1007-2276.2012.01.018

[6]

Kyung W K. The comparison of visibility measurement between image-based visual range, human eye-based visual range, and meteorological optical range[J]. Atmospheric Environment, 2018, 190: 74-86. doi: 10.1016/j.atmosenv.2018.07.020

[7]

李浩, 孙学金, 单陈华, 等. 关于气象能见度理论与观测的讨论[J]. 解放军理工大学学报(自然科学版), 2013, 14(3):297-302. (Li Hao, Sun Xuejin, Shan Chenhua, et al. Basis theory and observation of meteorological visibility[J]. Journal of PLA University of Science and Technology(Natural Science Edition), 2013, 14(3): 297-302

[8]

孙学金, 王晓蕾, 李浩, 等. 大气探测学[M]. 北京: 气象出版社, 2009: 362-367.

Sun Xuejin, Wang Xiaolei, Li Hao, et al. Atmospheric detection theory. Beijing: China Meteorological Press, 2009: 362-367

[9]

Cai Y, Korotkova O, Eyyuboğlu H T, et al. Active laser radar systems with stochastic electromagnetic beams in turbulent atmosphere[J]. Optics Express, 2008, 16(20): 15834-15846. doi: 10.1364/OE.16.015834

[10]

Ji Hongzhu, Chen Siying, Zhang Yinchao, et al. Calibration method for the reference parameter in Fernald and Klett inversion combining Raman and Elastic return[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2017, 188: 71-79. doi: 10.1016/j.jqsrt.2016.06.041

[11]

田鹏飞, 张镭, 曹贤洁, 等. 基于Fernald和Klett方法确定气溶胶消光系数边界值[J]. 量子电子学报, 2013, 30(1):57-65. (Tian Pengfei, Zhang Lei, Cao Xianjie, et al. A novel approach based on Fernald’s and Klett’s method to determine the atmospheric extinction coefficient boundary value[J]. Chinese Journal of Quantum Electronics, 2013, 30(1): 57-65 doi: 10.3969/j.issn.1007-5461.2013.01.011

[12]

林洪桦. 测量误差与不确定度评估[M]. 北京: 机械工业出版社, 2009: 384-397.

Lin Honghua. Measurement error and uncertainty assessment. Beijing: China Machine Press, 2009: 384-397

[13]

Hessling J P. Propagation of dynamic measurement uncertainty[J]. Measurement Science and Technology, 2011, 22(10): 105-117.

[14]

Engel R, Baade H. Quantifying impacts on the measurement uncertainty in flow calibration arising from dynamic flow effects[J]. Flow Measurement and Instrumentation, 2014, 44(8): 51-60.

[15]

Xia X, Meng Y, Shi B J, et al. Bootstrap forecasting method of uncertainty for rolling bearing vibration performance based on GM(1,1)[J]. Journal of Grey System, 2015, 27(2): 78-92.

[16]

Tang D, Peng J. Evaluation about measurement uncertainty of vertical metal oil tank based on grey system theory[C]//IEEE International Conference on Cognitive Informatics and Cognitive Computing. 2011: 235-239.

[17]

Reese S E, Archer K J, Therneau T M, et al. A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis[J]. Bioinformatic, 2013, 29(22): 2877-2883. doi: 10.1093/bioinformatics/btt480

[18]

汪启跃, 王中宇, 王岩庆, 等. 乏信息空间机械臂随机振动信号的灰自助评估[J]. 北京航空航天大学学报, 2016, 42(4):858-864. (Wang Qiyue, Wang Zhongyu, Wang Yanqing, et al. Estimation of space manipulator random vibration signals with poor information based on grey bootstrap method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(4): 858-864

[19]

Wang Y, Wang Z, Sun J, et al. Dynamic uncertainty analysis for random vibration signals in flight test[J]. Journal of Aircraft, 2014, 51(6): 1966-1972. doi: 10.2514/1.C032710

[20]

Zhang H, Tian X, Deng X, et al. Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis[J]. Neurocomputing, 2018, 293: 64-86. doi: 10.1016/j.neucom.2018.02.091

[21]

王丰效. 基于合作对策的非等距灰色组合预测模型[J]. 沈阳理工大学学报, 2006, 25(6):35-38. (Wang Fengxiao. Unequal interval gray combination forecasting model based on cooperative game[J]. Transactions of Shenyang Ligong University, 2006, 25(6): 35-38 doi: 10.3969/j.issn.1003-1251.2006.06.011

[1]	中国气象局. 地面气象观测规范[M]. 北京: 气象出版社, 2003. China Meteorological Administration. Ground weather observation criterion. Beijing: China Meteorological Press, 2003
[2]	冯帅, 蒋立辉, 熊兴隆, 等. 含有突变信号的激光雷达能见度反演[J]. 红外与激光工程, 2017, 46(3):222-228. (Feng Shuai, Jiang Lihui, Xiong Xinglong, et al. Lidar visibility inversion with breakpoint signal[J]. Infrared and Laser Engineering, 2017, 46(3): 222-228
[3]	熊兴隆, 闫朴, 蒋立辉, 等. 测风激光雷达应用于机场能见度及云底高探测[J]. 激光与红外, 2010, 40(8):817-820. (Xiong Xinglong, Yan Pu, Jiang Lihui, et al. Application of wind lidar in detection of the airport’s visibility and cloud base height[J]. Laser and Infrared, 2010, 40(8): 817-820 doi: 10.3969/j.issn.1001-5078.2010.08.004
[4]	吕炜煜, 苑克娥, 魏旭, 等. 对流层气溶胶和水汽的车载激光雷达系统的探测[J]. 红外与激光工程, 2016, 45(3):200-206. (Lü Weiyu, Yuan Ke’e, Wei Xu, et a1. A mobile lidar system for aerosol and water vapor detection in troposphere with mobile lidar[J]. Infrared and Laser Engineering, 2016, 45(3): 200-206
[5]	熊兴隆, 蒋立辉, 冯帅. Mie散射激光雷达回波信号处理方法[J]. 红外与激光工程, 2012, 41(1):89-95. (Xiong Xinglong, Jiang Lihui, Feng Shuai. Return signals processing method of Mie scattering lidar[J]. Infrared and Laser Engineering, 2012, 41(1): 89-95 doi: 10.3969/j.issn.1007-2276.2012.01.018
[6]	Kyung W K. The comparison of visibility measurement between image-based visual range, human eye-based visual range, and meteorological optical range[J]. Atmospheric Environment, 2018, 190: 74-86. doi: 10.1016/j.atmosenv.2018.07.020
[7]	李浩, 孙学金, 单陈华, 等. 关于气象能见度理论与观测的讨论[J]. 解放军理工大学学报(自然科学版), 2013, 14(3):297-302. (Li Hao, Sun Xuejin, Shan Chenhua, et al. Basis theory and observation of meteorological visibility[J]. Journal of PLA University of Science and Technology(Natural Science Edition), 2013, 14(3): 297-302
[8]	孙学金, 王晓蕾, 李浩, 等. 大气探测学[M]. 北京: 气象出版社, 2009: 362-367. Sun Xuejin, Wang Xiaolei, Li Hao, et al. Atmospheric detection theory. Beijing: China Meteorological Press, 2009: 362-367
[9]	Cai Y, Korotkova O, Eyyuboğlu H T, et al. Active laser radar systems with stochastic electromagnetic beams in turbulent atmosphere[J]. Optics Express, 2008, 16(20): 15834-15846. doi: 10.1364/OE.16.015834
[10]	Ji Hongzhu, Chen Siying, Zhang Yinchao, et al. Calibration method for the reference parameter in Fernald and Klett inversion combining Raman and Elastic return[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2017, 188: 71-79. doi: 10.1016/j.jqsrt.2016.06.041
[11]	田鹏飞, 张镭, 曹贤洁, 等. 基于Fernald和Klett方法确定气溶胶消光系数边界值[J]. 量子电子学报, 2013, 30(1):57-65. (Tian Pengfei, Zhang Lei, Cao Xianjie, et al. A novel approach based on Fernald’s and Klett’s method to determine the atmospheric extinction coefficient boundary value[J]. Chinese Journal of Quantum Electronics, 2013, 30(1): 57-65 doi: 10.3969/j.issn.1007-5461.2013.01.011
[12]	林洪桦. 测量误差与不确定度评估[M]. 北京: 机械工业出版社, 2009: 384-397. Lin Honghua. Measurement error and uncertainty assessment. Beijing: China Machine Press, 2009: 384-397
[13]	Hessling J P. Propagation of dynamic measurement uncertainty[J]. Measurement Science and Technology, 2011, 22(10): 105-117.
[14]	Engel R, Baade H. Quantifying impacts on the measurement uncertainty in flow calibration arising from dynamic flow effects[J]. Flow Measurement and Instrumentation, 2014, 44(8): 51-60.
[15]	Xia X, Meng Y, Shi B J, et al. Bootstrap forecasting method of uncertainty for rolling bearing vibration performance based on GM(1,1)[J]. Journal of Grey System, 2015, 27(2): 78-92.
[16]	Tang D, Peng J. Evaluation about measurement uncertainty of vertical metal oil tank based on grey system theory[C]//IEEE International Conference on Cognitive Informatics and Cognitive Computing. 2011: 235-239.
[17]	Reese S E, Archer K J, Therneau T M, et al. A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis[J]. Bioinformatic, 2013, 29(22): 2877-2883. doi: 10.1093/bioinformatics/btt480
[18]	汪启跃, 王中宇, 王岩庆, 等. 乏信息空间机械臂随机振动信号的灰自助评估[J]. 北京航空航天大学学报, 2016, 42(4):858-864. (Wang Qiyue, Wang Zhongyu, Wang Yanqing, et al. Estimation of space manipulator random vibration signals with poor information based on grey bootstrap method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(4): 858-864
[19]	Wang Y, Wang Z, Sun J, et al. Dynamic uncertainty analysis for random vibration signals in flight test[J]. Journal of Aircraft, 2014, 51(6): 1966-1972. doi: 10.2514/1.C032710
[20]	Zhang H, Tian X, Deng X, et al. Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis[J]. Neurocomputing, 2018, 293: 64-86. doi: 10.1016/j.neucom.2018.02.091
[21]	王丰效. 基于合作对策的非等距灰色组合预测模型[J]. 沈阳理工大学学报, 2006, 25(6):35-38. (Wang Fengxiao. Unequal interval gray combination forecasting model based on cooperative game[J]. Transactions of Shenyang Ligong University, 2006, 25(6): 35-38 doi: 10.3969/j.issn.1003-1251.2006.06.011