Infrared and Laser Engineering, Volume. 52, Issue 11, 20230160(2023)

Optimization of aircraft wake vortex inversion algorithm near ground based on Doppler lidar

Rongchuan Zhang1, Xiaoye Wang1, Hongwei Zhang1,2,3、*, Xiaoying Liu1, Xitao Wang4, Shengguang Qin4, Jiaping Yin4, Qichao Wang1, and Songhua Wu1,3
Author Affiliations
  • 1College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
  • 2Key Laboratory of Space Laser Information Transmission and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
  • 3Laboratory for Regional Oceanography and Numerical Modeling, Laoshan Laboratory, Qingdao 266237, China
  • 4Qingdao Leice Transient Technology Co., Ltd, Qingdao 266100, China
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    Figures & Tables(21)
    Process of wake vortex identification algorithm
    The enhancement of broadening effect under the influence of wake vortex
    Schematic diagram of spectrum width calculation
    Regional focus process diagram
    Schematic diagram of focalization principle in region. (a) Radial wind speed diagram; (b) Spectrum width diagram
    Principle diagram of radial wind speed method
    Explanation of wake vortex stretching phenomenon
    Principle of speed correction model
    (a) Site observation of Chengdu Shuangliu International Airport; (b) Observation scheme diagram
    The diagram of observation results. (a) Radial wind speed diagram; (b) Spectrum width diagram
    Radial distance solution of wake vortex. (a) Radial wind speed method; (b) Variation curve of the maximum spectral width with the lidar distance; (c) Fast identification method
    Regional focus result diagram. (a) Radial wind speed diagram; (b) Spectrum width diagram
    The maximum (minimum) velocity envelope. (a) Left vortex core distance library; (b) Right vortex core distance library
    The identification results of the wake vortex position. (a) Radial wind speed diagram; (b) Spectrum width diagram
    Circulation correction results and corresponding B-H model fitting
    B-H model fitting
    Chengdu Shuangliu Airport Flight Information (2018.09.07)
    Statistical comparison chart of method results before and after optimization
    • Table 1. Validation conditions and discrimination methods

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      Table 1. Validation conditions and discrimination methods

      Verification conditionsJudgment method
      Proximity verificationThere is no region between the identified two vortex core positions that conforms to the characteristics of the wake vortex
      Similarity verificationThe ratio of DR value at the position of two vortex cores should be within a certain range
      Size verificationThe number of elevation angles with high broadening at the identified two vortex cores should be greater than a certain value
    • Table 2. Main technical indexes of 3D scanning coherent Doppler lidar

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      Table 2. Main technical indexes of 3D scanning coherent Doppler lidar

      ParameterTechnical parameterParameterTechnical parameter
      Wavelength/μm1.55Speed range/m·s−1±37.5
      Sampling frequency/GHz1Speed accuracy/m·s−1≤0.1
      Pulse repetition frequency/kHz10Scanning servo accuracy/(°)0.1
      Pulse energy/μJ150Scanning speed/(°)·s−11-50
      Pulse width/ns100-400Data refresh rate/Hz1-10
      Radial detection range/m45-6 000Power/W<300
      Radial distance resolution/m15-60Weight/kg<90
    • Table 3. Cause analysis of abnormal identification

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      Table 3. Cause analysis of abnormal identification

      Error typeCauseConcrete analysis
      Misreporting (93 cases) DissipationLow strength (18 cases) Radial velocity component of wake vortex is close to background wind speed
      Unpaired (34 cases) There is only one vortex in the scanning range
      Low strength (31cases) Tangential velocity is close to background wind speed
      Interference Crosswind interference (1 cases) Due to cross wind interference, the maximum (minimum) radial velocity found is independent of the wake vortex, and the characteristics of the wake vortex rotation are not correctly identified
      Ground interference (2 cases) Due to the decrease of wind speed at the ground, the maximum (minimum) radial wind speed is not related to the wake vortex, and the characteristics of wake vortex rotation are not correctly identified
      Occlusion (3 cases) Covered by aircraft, wake vortex feature destroyed, recognition failed
      Wake vortex distortion (3 cases) Failed secondary verification
      Wind speed data anomalies (1 case) Abnormal data at wake vortex position, resulting in failure to distinguish properly
      False alarm (2 cases) Data anomalies (2 cases) Existence of similar wake vortex structure by interpolation of some abnormal data
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    Rongchuan Zhang, Xiaoye Wang, Hongwei Zhang, Xiaoying Liu, Xitao Wang, Shengguang Qin, Jiaping Yin, Qichao Wang, Songhua Wu. Optimization of aircraft wake vortex inversion algorithm near ground based on Doppler lidar[J]. Infrared and Laser Engineering, 2023, 52(11): 20230160

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    Paper Information

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    Received: Mar. 22, 2023

    Accepted: --

    Published Online: Jan. 8, 2024

    The Author Email: Zhang Hongwei (.Zhanghongwei8944@ouc.edu.cn)

    DOI:10.3788/IRLA20230160

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