• DocumentCode
    2189575
  • Title

    Backscattered signal level and SNR validation methodology for tropospheric elastic lidars

  • Author

    Lange, Diego ; Kumar, Dhiraj ; Rocadenbosch, Francesc

  • Author_Institution
    Dept. of Signal Theor. & Commun. (TSC), Univ. Politec. de Catalunya (UPC), Barcelona, Spain
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4707
  • Lastpage
    4710
  • Abstract
    A methodology aimed at validating elastic-channel optical power return and signal-to-noise ratio (SNR) levels estimated at the link-budget design stage of a tropospheric lidar against the measured ones is presented. A Rayleigh fit along with knowledge of the atmospheric aerosol transmittance and emission energy is used to theoretically estimate the net voltage responsivity. As a further refinement, when simultaneous analog and photon-counting acquisition is available, the method formulates a rough estimate of the optical losses in the receiving chain. Preliminary validation of the link-budget-assessed optical power and SNR levels for the 1064-nm channel of the Remote Sensing Lab. (RSLab) lidar is discussed.
  • Keywords
    atmospheric techniques; backscatter; optical radar; photon counting; remote sensing by laser beam; troposphere; SNR validation methodology; atmospheric aerosol transmittance; backscattered signal level; elastic-channel optical power; emission energy; link-budget design; link-budget-assessed optical power; net voltage responsivity estimation; optical loss estimation; photon-counting acquisition; signal-to-noise ratio; tropospheric elastic lidars; wavelength 1064 nm; Adaptive optics; Atmospheric measurements; Laser radar; Optical fiber communication; Optical variables measurement; Signal to noise ratio; Voltage measurement; backscatter lidar; data gluing; elastic lidar equation; photon counting; signal-to-noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350414
  • Filename
    6350414