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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. 基于激光雷达的垂直能见度反演算法及其误差评估[J]. 强激光与粒子束, 2020, 32: 031002. doi: 10.11884/HPLPB202032.190250
引用本文: 宋海润, 王晓蕾, 李浩. 基于激光雷达的垂直能见度反演算法及其误差评估[J]. 强激光与粒子束, 2020, 32: 031002. doi: 10.11884/HPLPB202032.190250
Song Hairun, Wang Xiaolei, Li Hao. Inversion algorithm of vertical visibility based on lidar and its error evaluation[J]. High Power Laser and Particle Beams, 2020, 32: 031002. doi: 10.11884/HPLPB202032.190250
Citation: Song Hairun, Wang Xiaolei, Li Hao. Inversion algorithm of vertical visibility based on lidar and its error evaluation[J]. High Power Laser and Particle Beams, 2020, 32: 031002. doi: 10.11884/HPLPB202032.190250

基于激光雷达的垂直能见度反演算法及其误差评估

doi: 10.11884/HPLPB202032.190250
基金项目: 国家自然科学基金项目(41575025)
详细信息
    作者简介:

    宋海润(1996—),男,硕士研究生,从事战场环境检测研究;songhairun1996@163.com

    通讯作者:

    王晓蕾(1964—),女,硕士,教授,从事测试计量技术与仪器研究工作;wangxiaolei0199@163.com

  • 中图分类号: TN958.98

Inversion algorithm of vertical visibility based on lidar and its error evaluation

  • 摘要: 针对大气垂直方向上消光系数分布不均匀难以用传统方法直接测量垂直能见度的问题,提出了一种基于激光雷达探测垂直能见度的计算方法。根据大气辐射传输基本原理,借助于辐射传输方程,推导出了垂直能见度的计算公式;然后利用激光雷达原理方程和Klett算法反演出大气垂直方向上的消光系数分布,基于此提出了垂直能见度的迭代算法。最后,利用灰色模型GM(1,1)和批统计算法,对激光雷达反演得到的后向散射系数进行了评估,给出了误差置信区间为(0.760±0.339)×10−4(srad·km)−1。结果表明,该方法是一种特别有效的计算垂直能见度的方法,符合探测的基本需求,且误差小精度高。
  • 图  1  垂直能见度反演流程图

    Figure  1.  The inversion flow chart of vertical visibility

    图  2  2019年5月2日00时00分大气的消光系数廓线

    Figure  2.  Atmospheric extinction coefficient profile at 00:00 on May 2, 2019

    图  3  2019年5月2日垂直能见度变化曲线

    Figure  3.  Vertical visibility curve on May 2, 2019

    图  4  后向散射系数偏差曲线

    Figure  4.  Error distribution curves of backscattering coefficient

    表  1  CL51型激光雷达主要技术指标

    Table  1.   The main technical indicators of CL51 lidar

    laser wavelength/nmoperating modepulse energy/μWsrepetition rate/kHzoptics focus/mmeffective lens diameter/mmmeasurement range/kmrange resolution/mmeasurement interval/sfield-of-view divergence/mrad
    910pulsed3.06.54501480~15.41060.56
    下载: 导出CSV

    表  2  后向散射系数的批统计结果分析表

    Table  2.   Backscattering coefficient deviation result analysis by batch statistics

    datealtitude/mmean of error/10−4(srad·km)−1standard deviation of error/10−4(srad·km)−1confidence interval/10−4(srad·km)−1
    2019-05-0200.7260.2250.726±0.318
    100.7210.2230.721±0.316
    200.7430.2310.743±0.327
    300.7410.2300.741±0.326
    400.7600.2400.760±0.339
    500.7460.2350.746±0.332
    600.7080.2230.708±0.223
    700.7260.2280.726±0.322
    800.6830.2150.683±0.304
    900.6390.2010.639±0.284
    1000.6090.1920.609±0.192
    2019-05-0300.6040.2030.604±0.287
    100.5930.2000.593±0.282
    200.6080.2060.608±0.292
    300.6080.2070.608±0.292
    400.6320.2130.632±0.302
    500.6280.2110.628±0.298
    600.6190.2070.619±0.293
    700.6180.2070.617±0.292
    800.6150.2070.615±0.292
    900.5900.1970.590±0.279
    1000.5710.1900.571±0.269
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-07-01
  • 修回日期:  2019-11-05
  • 刊出日期:  2020-02-10

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