• Chinese Optics Letters
  • Vol. 23, Issue 1, 011203 (2025)
Yue Shi1、2, Xiong Luo1、3、*, Peiyu Sun2, Jihui Dong1、4、**, Lei Tang5, Jie Zhou1、3, Ke Wang1、3, Chunli Chen1、3, Yunshi Wang1、3, and Dingfu Zhou1、3、4、***
Author Affiliations
  • 1Southwest Institute of Technical Physics, Chengdu 610041, China
  • 2Science College, Civil Aviation Flight University of China, Guanghan 618307, China
  • 3Lidar and Device Laboratory, Southwest Institute of Technical Physics, Chengdu 610041, China
  • 4Key Laboratory of Laser Device Technology of China North Industries Group Corporation Limited, Chengdu 610041, China
  • 5China Research and Development Academy of Machinery Equipment, Beijing 100089, China
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    DOI: 10.3788/COL202523.011203 Cite this Article Set citation alerts
    Yue Shi, Xiong Luo, Peiyu Sun, Jihui Dong, Lei Tang, Jie Zhou, Ke Wang, Chunli Chen, Yunshi Wang, Dingfu Zhou, "Real-time synchronous detection of wind and aerosol using a coherent lidar," Chin. Opt. Lett. 23, 011203 (2025) Copy Citation Text show less
    The composition chart of the CL.
    Fig. 1. The composition chart of the CL.
    Data processing procedure of wind, cloud height, extinction coefficient, visibility, and aerosol concentration.
    Fig. 2. Data processing procedure of wind, cloud height, extinction coefficient, visibility, and aerosol concentration.
    Experimental scene.
    Fig. 3. Experimental scene.
    Aerosol extinction coefficients in (a) a hazy day, (b) an overcast and rainy day, and (c) a foggy day.
    Fig. 4. Aerosol extinction coefficients in (a) a hazy day, (b) an overcast and rainy day, and (c) a foggy day.
    SNRs in (a) a hazy day, (b) an overcast and rainy day, and (c) a foggy day.
    Fig. 5. SNRs in (a) a hazy day, (b) an overcast and rainy day, and (c) a foggy day.
    October 11-13, 2022, Chengdu. (a) Data fusion of extinction coefficient, cloud height, and wind field. (b) SNR.
    Fig. 6. October 11-13, 2022, Chengdu. (a) Data fusion of extinction coefficient, cloud height, and wind field. (b) SNR.
    SymbolParameterValue
    RDetector responsivity (A/W)1
    GElectronics conversion gain (V/A)30000
    RLImpedance (Ω)50
    SRSignal sampling rate (MHz)400
    NNumber of sampling points512
    PLPower of the local oscillator signal (mW)0.5
    FFocal length (m)5000
    atTelescope radius (mm)50
    EPulse energy (µJ)150
    BReceiving bandwidth (MHz)200
    Table 1. System Parameters of the CL
    SystemCLAL
    Wavelength (nm)1550532
    Detection modeCoherent detectionDirect detection
    Range (km)1015
    AntennaT-R combine, 100 mmT-R separate, 160 mm
    Pulse energy (µJ)15020
    Pulse repetition rate (kHz)102
    Range resolution (m)15–200 (adjustable)15
    Wind speed accuracy (m/s)0.5
    Wind direction accuracy (deg)3
    Azimuth scanning range (deg)0–360
    Zenith scanning range (deg)0–9090
    Weight (kg)60
    Data productWind; extinction coefficient; aerosol concentration; visibility; cloud heightExtinction coefficient; visibility; PM10; PM2.5; depolarization ratio
    AdvantageWithout geometric factor; eye-safe; high sensitivity; high time resolutionVisible light; closer to human visibility
    DisadvantageSecondary data acquisition time; invisible light; data conversion requiredLong acquisition time; not eye-safe; blind zone; geometric factor correction required
    Table 2. Comparison of the CL and AL
    ItemWeatherFigureAerosol concentration
    2022/3/24Hazy day(a)Closely aligned
    2022/3/30Overcast and rainy day(b)Congruent; during precipitation events (21:00-0:00), data from CL were missing, while AL continued, although its reliability is not high due to the rain
    2022/4/5Foggy day(c)Propinquity; the data gaps between 0:00 to 9:00 in AL may be caused by geometric factors
    Table 3. Comparison of the Aerosol Concentration and SNR
    Yue Shi, Xiong Luo, Peiyu Sun, Jihui Dong, Lei Tang, Jie Zhou, Ke Wang, Chunli Chen, Yunshi Wang, Dingfu Zhou, "Real-time synchronous detection of wind and aerosol using a coherent lidar," Chin. Opt. Lett. 23, 011203 (2025)
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