Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Chinese Journal of Lasers, Volume. 45, Issue 11, 1110005(2018)

Wind-Field Vector Retrieval Method at Low Signal-to-Noise Ratio for Coherent Doppler Lidar

Meng Zhao*, Pan Guo*, Xunbao Rui, Siying Chen, Yinchao Zhang, and He Chen
Author Affiliations
  • School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (13)
    Equations (0)
    References (0)
    Cited By (8)
    Tools
    Paper Information
    Topics
    Figures & Tables(13)
    Principle of wind vector retrieval using VAD method

    Fig. 1. Principle of wind vector retrieval using VAD method

    Download full size
    Comparison of two algorithms at different RSN based on simulated data.(a) RSN=-10 dB, DSWF; (b) RSN=-10 dB, FSWF; (c) RSN=-20 dB, DSWF; (d) RSN=-20 dB, FSWF

    Fig. 2. Comparison of two algorithms at different RSN based on simulated data.(a) RSN=-10 dB, DSWF; (b) RSN=-10 dB, FSWF; (c) RSN=-20 dB, DSWF; (d) RSN=-20 dB, FSWF

    Download full size
    Comparison of wind-field estimated retrieval errors between the two algorithms based on simulated data at different RSN. (a) Wind velocity; (b) wind direction

    Fig. 3. Comparison of wind-field estimated retrieval errors between the two algorithms based on simulated data at different RSN. (a) Wind velocity; (b) wind direction

    Download full size
    Comparison of wind-field estimated retrieval errors between SQP and quasi-Newton methods based on simulated data at different RSN. (a) Retrieval data with SQP; (b) retrieval data with quasi-Newton method; (c) retrieval data of original wind-filed

    Fig. 4. Comparison of wind-field estimated retrieval errors between SQP and quasi-Newton methods based on simulated data at different RSN. (a) Retrieval data with SQP; (b) retrieval data with quasi-Newton method; (c) retrieval data of original wind-filed

    Download full size
    Physical photos of the portable coherent Doppler lidar and sounding balloon. (a) Portable coherent Doppler lidar; (b) sounding balloon

    Fig. 5. Physical photos of the portable coherent Doppler lidar and sounding balloon. (a) Portable coherent Doppler lidar; (b) sounding balloon

    Download full size
    Comparison of coherent Doppler lidar and sounding balloon on March 20, 2018. (a) Horizontal wind speed; (b) horizontal wind direction; (c) RSN

    Fig. 6. Comparison of coherent Doppler lidar and sounding balloon on March 20, 2018. (a) Horizontal wind speed; (b) horizontal wind direction; (c) RSN

    Download full size
    Comparison of coherent Doppler lidar and sounding balloon on March 21, 2018.(a) Horizontal wind speed; (b) horizontal wind direction; (c) RSN

    Fig. 7. Comparison of coherent Doppler lidar and sounding balloon on March 21, 2018.(a) Horizontal wind speed; (b) horizontal wind direction; (c) RSN

    Download full size
    Comparison of coherent Doppler lidar and sounding balloon on March 22, 2018. (a) Horizontal wind speed; (b) horizontal wind direction; (c) RSN

    Fig. 8. Comparison of coherent Doppler lidar and sounding balloon on March 22, 2018. (a) Horizontal wind speed; (b) horizontal wind direction; (c) RSN

    Download full size
    Comparison of coherent Doppler lidar and sounding balloon on March 23, 2018.(a) Horizontal wind speed; (b) horizontal wind direction; (c) RSN

    Fig. 9. Comparison of coherent Doppler lidar and sounding balloon on March 23, 2018.(a) Horizontal wind speed; (b) horizontal wind direction; (c) RSN

    Download full size
    Comparison of the scatterplot of coherent Doppler lidar and sounding balloon.(a) Horizontal wind speed; (b) horizontal wind direction

    Fig. 10. Comparison of the scatterplot of coherent Doppler lidar and sounding balloon.(a) Horizontal wind speed; (b) horizontal wind direction

    Download full size
    Spatiotemporal figures of wind vector retrieval with FSWF using quasi-Newton method

    Fig. 11. Spatiotemporal figures of wind vector retrieval with FSWF using quasi-Newton method

    Download full size
    Spatiotemporal figures of wind vector retrieval with FSWF using SQP method

    Fig. 12. Spatiotemporal figures of wind vector retrieval with FSWF using SQP method

    Download full size

    • Table 1. Parameters of the coherent wind-detected Doppler lidar system

      View table

      Table 1. Parameters of the coherent wind-detected Doppler lidar system

      ParameterValue
      Wavelength /nm1550
      Pulse repetition frequency /kHz10
      Pulse energy /μJ19
      Pulse width /ns400
      Sampling rate /MHz400
      Pitch angle /(°)70
      Pulse accumulation number10000
      Spatial resolution /m88
      Measurement range /m130-1200
      Telescope diameter /mm50
      Weight /kg24
      Outline dimension /cm335×27.5×50
    Tools

    Get Citation

    Copy Citation Text

    Meng Zhao, Pan Guo, Xunbao Rui, Siying Chen, Yinchao Zhang, He Chen. Wind-Field Vector Retrieval Method at Low Signal-to-Noise Ratio for Coherent Doppler Lidar[J]. Chinese Journal of Lasers, 2018, 45(11): 1110005

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: remote sensing and sensor

    Received: --

    Accepted: Jul. 17, 2018

    Published Online: May. 9, 2019

    The Author Email:

    DOI:10.3788/CJL201845.1110005

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology