Advanced Search
LAI Dong, CHEN Yong, ZHOU Ding-fu, HOU Tian-jin, ZHOU Xin. Beam scanning of lidar and the simulation of the improved VAD inversion methods[J]. LASER TECHNOLOGY, 2008, 32(6): 584-586.
Citation: LAI Dong, CHEN Yong, ZHOU Ding-fu, HOU Tian-jin, ZHOU Xin. Beam scanning of lidar and the simulation of the improved VAD inversion methods[J]. LASER TECHNOLOGY, 2008, 32(6): 584-586.

Beam scanning of lidar and the simulation of the improved VAD inversion methods

More Information
  • Received Date: September 27, 2007
  • Revised Date: March 24, 2008
  • Published Date: December 24, 2008
  • In order to remedy the shortage of the lidar velocity azimuth display(VAD) method and improve the precision of the inversion wind velocity,a new technique was put forward with iterative pretreatment to eliminate low and oddity wind velocity and with the summation average statistical method to obtain three-dimension wind field.The wind field model was built,and then the simulation and error analysis were carried out.The results show that the absolute error of inversion wind field is within 0.5m/s,only one half of that of traditional velocity azimuth display method.
  • [1]
    HU H W,HU Q Q.The scanning and inversion method of atmosphere wind by Doppler lidar[J].Applied Laser,2000,20(5):213-215(in Chinese).
    [2]
    WANG X Q,DONG Y Q,YUAN Sh,et al.Study on simulation of micro-Doppler effect in lidar[J].Laser Technology,2007,31(2):117-119(in Chinese).
    [3]
    LAWRENCE E M,SPELLER K,YU D L.Laser Doppler vibrometry for optical MEMS[J].SPIE,2002,4827:80-81.
    [4]
    NEWSON R K,LINGON D,CALHOUN R,et al.Retrieval of mi-croscale wind and temperature fields from single and dual-Doppler lidar data[J].Journal of Applied Meteorology,2005,44(9):1324-1345.
    [5]
    ROTHERMEL J,OLIVIER L D,BANTA R M,et al.Remote sensing of multi-level wind fields with high-energy airborne scanning coherent Doppler lidar[J].Optics Express,1998,2(2):40-50.
    [6]
    HU H W,HU Q Q.The beam scanning and inversion method for detecting wind by lidar[J].High Power Laser and Particle Beams,2001,13(1):24-26(in Chinese).
    [7]
    HAWLEY J G,TARG R,HENDERSON S W,et al.Coherent launch-site atmospheric wind sounder:theory and experiment[J].Appl Opt,1993,32(24):4557-4568.
    [8]
    THOMAS M,SRIVASTAVA R C.An improved version of the extended velocity-azimuth display analysis of single-Doppler radar data[J].Journal of Atmospheric and Oceanic Technology,1991,8(4):453-466.
    [9]
    KOPP F,SCHWIESOW R L,WERNER C.Remote measurements ofboundary layer wind profiles using a CW Doppler lidar[J].Journal of Climate Applied Meteorol,1984,23(1):148-158.
    [10]
    WERNER C.Fast sector scan and pattern recognition for a CW laser Doppler anemometer[J].Appl Opt,1985,24(21):3557-3564.
    [11]
    WAN R,TANG D Zh,ZHANG P,et al.Application and comparison of two VAD methods of Doppler radar[J].Journal of Nanjing Institute of Meteorology,2002,25(5):648-655(in Chinese).
  • Related Articles

    [1]YAN Xin, YING Kaining, DAI Lunan, TAN Junfu, SHEN Zhonghua, NI Chenyin. Research on laser ultrasonic wavefield based on physical-informed neural network[J]. LASER TECHNOLOGY, 2024, 48(1): 105-113. DOI: 10.7510/jgjs.issn.1001-3806.2024.01.017
    [2]GE Yifan, LU Xu, LIU Yuzhu. Research on eggshell via laser-induced breakdown spectroscopy and neural network[J]. LASER TECHNOLOGY, 2022, 46(4): 532-537. DOI: 10.7510/jgjs.issn.1001-3806.2022.04.015
    [3]ZHENG Wei, WANG Chao, YANG Wenli, WU Chunbang, ZHANG Zhenjie. An optical beamforming network based on dispersing optics[J]. LASER TECHNOLOGY, 2022, 46(2): 188-192. DOI: 10.7510/jgjs.issn.1001-3806.2022.02.007
    [4]LIU Chang'an, SUN Shuming, ZHAO Lijuan. A lightweight network for power tower extraction from laser point cloud[J]. LASER TECHNOLOGY, 2021, 45(3): 367-372. DOI: 10.7510/jgjs.issn.1001-3806.2021.03.018
    [5]KE Xi-zheng, CHEN Jin-ni. Research of energy-saving wireless sensor network based on UV light[J]. LASER TECHNOLOGY, 2013, 37(2): 251-255. DOI: 10.7510/jgjs.issn.1001-3806.2013.02.028
    [6]XU Da-peng, ZHOU Jian-zhong, GUO Hua-feng, JI Xia. Quality prediction of laser cladding layer based on improved neural network[J]. LASER TECHNOLOGY, 2007, 31(5): 511-514.
    [7]WANG Xiu-feng, LÜ Xiao-dong, CHEN Guang-nan, HU Shi-guang. Application of artificial neural network in laser sheet metal bending[J]. LASER TECHNOLOGY, 2005, 29(3): 244-247.
    [8]Mo Changtao, Chen Changzheng, Zhang Lili, Sun Fengjiu. Neural network application in position sensitive detector[J]. LASER TECHNOLOGY, 2003, 27(6): 594-596.
    [9]Wang Da-cheng. Controlling laser surface strengthening process based on artificial neural network[J]. LASER TECHNOLOGY, 2003, 27(4): 317-320.
    [10]Zeng Xiaodong, An Yuying, Yu Changqing. Near field measurement of laser diodes[J]. LASER TECHNOLOGY, 1998, 22(2): 127-129.

Catalog

    Article views (7) PDF downloads (8) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return