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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6350414
