基于激光雷达探测的飞机尾流特征参数反演系统

沈淳 高航 王雪松 李健兵

沈淳, 高航, 王雪松, 等. 基于激光雷达探测的飞机尾流特征参数反演系统[J]. 雷达学报, 2020, 9(6): 1032–1044. doi: 10.12000/JR20046
引用本文: 沈淳, 高航, 王雪松, 等. 基于激光雷达探测的飞机尾流特征参数反演系统[J]. 雷达学报, 2020, 9(6): 1032–1044. doi: 10.12000/JR20046
SHEN Chun, GAO Hang, WANG Xuesong, et al. Aircraft wake vortex parameter-retrieval system based on Lidar[J]. Journal of Radars, 2020, 9(6): 1032–1044. doi: 10.12000/JR20046
Citation: SHEN Chun, GAO Hang, WANG Xuesong, et al. Aircraft wake vortex parameter-retrieval system based on Lidar[J]. Journal of Radars, 2020, 9(6): 1032–1044. doi: 10.12000/JR20046

基于激光雷达探测的飞机尾流特征参数反演系统

DOI: 10.12000/JR20046
基金项目: 国家自然科学基金(61490649, 61771479, 61625108),湖南省杰出青年基金(2018JJ1030)
详细信息
    作者简介:

    沈 淳(1985–),男,福建漳州人,博士生,工程师,研究方向为空间信息获取与处理

    高 航(1995–),女,四川雅安人,博士生,主要研究方向为雷达信号处理

    王雪松(1972–),男,内蒙古人,博士,国防科技大学电子科学学院教授,主要研究方向为极化信息处理、新体制雷达技术、电子对抗

    李健兵(1979–),男,湖南邵东人,博士,国防科技大学电子科学学院教授,主要研究方向为新体制雷达、雷达信号处理

    通讯作者:

    沈淳 chunshen@nudt.edu.cn

    李健兵 jianbingli@nudt.edu.cn

  • 责任主编:夏海云 Corresponding Editor: XIA Haiyun
  • 中图分类号: TN955+.1

Aircraft Wake Vortex Parameter-retrieval System Based on Lidar

Funds: The National Natural Science Foundation of China (61490649, 61771479, 61625108), Hunan Natural Science Foundation for Distinguished Young Scholars (2018JJ1030)
More Information
  • 摘要: 飞机尾流是飞机飞行时在其后方产生的一对反向旋转的强烈湍流,对后续飞机飞行安全具有重大影响,其探测已成为制约机场容量增长和影响空中交通安全管理的瓶颈,亟需发展飞机尾流雷达探测和监视的技术与系统。该文构建了基于激光雷达探测的飞机尾流特征参数反演系统,可基于实测数据反演得到尾流涡心位置和速度环量等特征参数。同时构建了尾流动力学、散射特性与雷达回波仿真模块,可实现参数反演算法的性能评估。该系统的参数反演性能优良,运行稳定,可为机场安全管控提供有效技术手段,为飞机尾流的短时行为预测、危害评估和动态间隔标准制定等提供基础支撑。

     

  • 图  1  飞机尾流特征参数反演系统流程图

    Figure  1.  Flow chart of aircraft wake vortex parameter-retrieval system

    图  2  飞机尾流速度矢量示意图

    Figure  2.  Velocity components of aircraft wake vortices

    图  3  激光雷达探测飞机尾流示意图

    Figure  3.  Geometry setup of wake vortex Lidar detection

    图  4  激光雷达探测多普勒速度RHI分布示意图

    Figure  4.  RHI distribution of Doppler velocity by Lidar

    图  5  飞机尾流左右涡心回波数据示意图

    Figure  5.  Velocity distribution of the left and right wake vortices

    图  6  Gabor滤波后幅度二维分布图

    Figure  6.  Two-dimensional amplitude distribution after Gabor filter

    图  7  多普勒速度极差随径向距离的变化

    Figure  7.  Variation of Doppler velocity range along radial distance

    图  8  定位漩涡涡心仰角的说明图

    Figure  8.  Determination of wake vortex cores’ elevation angles

    图  9  尾流环量积分示意图

    Figure  9.  Path integration of wake vortex circulation

    图  10  左涡心径向距离上的两个探测单元速度分解

    Figure  10.  Velocity analysis of two detection units above and below the left vortex core

    图  11  飞机尾流特征参数反演系统界面

    Figure  11.  Interface of wake vortex parameter-retrieval system

    图  12  飞机尾流仿真参数设置界面

    Figure  12.  Interface of wake vortex simulation parameter setup

    图  13  飞机尾流多普勒速度和涡心轨迹的时间演化

    Figure  13.  Evolution of wake vortex Doppler velocity and vortex-core trajectory

    图  14  飞机尾流涡心定位结果

    Figure  14.  Results of wake vortex core location

    图  15  飞机尾流速度环量的理论与估计值对比

    Figure  15.  Comparison of wake vortex theory and estimated circulation

    图  16  香港机场飞机尾流激光雷达探测示意图

    Figure  16.  Lidar detection scene at Hongkong international airport

    图  17  飞机尾流速度环量估计方法设置

    Figure  17.  Interface of wake vortex circulation estimation algorithm

    图  18  飞机尾流实测数据涡心位置演化

    Figure  18.  Retrieval results of wake vortex core trajectory from detected data

    图  19  飞机尾流实测数据速度环量估计

    Figure  19.  Retrieval results of wake vortex circulations from detected data

    表  1  激光雷达仿真参数

    Table  1.   Simulation parameters of the Lidar

    主要参数量值
    雷达波长(μm)1.54
    脉冲宽度(ns)170
    采样率(MHz)50
    脉冲积累数1500
    信号噪声比(dB)–5
    FFT点数1024
    距离门宽度(m)21
    下载: 导出CSV

    表  2  香港国际机场探测激光雷达参数

    Table  2.   Parameters of Lidar used to detect at Hongkong international airport

    主要参数量值
    雷达波长(μm)1.54
    脉冲宽度(ns)200
    脉冲重复频率(kHz)20
    探测距离(m)[50, 6000]
    俯仰角(°)0.83~10.77
    距离门宽度(m)25
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-04-20
  • 修回日期:  2020-06-03
  • 网络出版日期:  2020-12-28

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