• DocumentCode
    3067135
  • Title

    Investigation on three key problems for the optical signal detection in space-borne coherent wind lidar

  • Author

    Long Gao ; Yu-liang Tao ; Ao-you Wang

  • Author_Institution
    Beijing Inst. of Space Mech. & Electr., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    3395
  • Lastpage
    3398
  • Abstract
    Space-borne coherent wind lidar, which estimates the radial component of the velocity vector from the mean frequency of the backscattered laser field from atmospheric aerosol particles as the result of interference with the reference local signal, is an attractive and feasible instrument for global measurements of winds. Since the space-borne coherent wind lidar is a complicated and critical optical system, and the accuracy of radial wind velocity is dependent on many factors. For the sake of enhancing the velocity accuracy, it is very important to improve the system sensitivity of the wind lidar, since the backscattered optical signal for the long range propagation is very weak. In this paper, it is proposed that the new enhanced IQ detection, phase nonlinearity for the laser propagating in the optical system, and the enhanced dual-balanced coherent detection method.
  • Keywords
    aerosols; frequency estimation; light propagation; light scattering; optical radar; optical signal detection; radar interference; spaceborne radar; vectors; atmospheric aerosol particle; backscattered laser field; backscattered optical signal; enhanced IQ detection; enhanced dual-balanced coherent detection method; long range laser propagation; optical signal detection; phase nonlinearity; radial velocity vector estimation; reference local signal interference; space-borne coherent wind lidar; Atmospheric measurements; Coherence; Extraterrestrial measurements; Laser radar; Optical fibers; Optical sensors; Wind; Dual-balanced coherent detection; IQ demodulation; Phase nonlinearity; Space-borne coherent wind lidar; Weather forecast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723557
  • Filename
    6723557