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Proceedings Paper

Lidar performance prediction by dimensionless SNR-parameterization
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Paper Abstract

A general methodology for evaluating the capabilities of a general lidar system encompassing both backscatter (elastic and Raman lidar) and topographic targets is presented. By introducing a well defined atmospheric reference medium and by individually examining and decomposing the contribution of lidar system parameters including lidar transmitter power, fields of view, receiver noise, atmospheric conditions, and sky background on the signal-to-noise-ratio (SNR), we obtain a simple dimensionless parameterization of the lidar system. Using this parameterization, numerical simulations are carried out to determine achievable lidar performance including operation range, minimum detectable gas concentration etc.

Paper Details

Date Published: 1 November 2005
PDF: 10 pages
Proc. SPIE 5979, Remote Sensing of Clouds and the Atmosphere X, 59791G (1 November 2005); doi: 10.1117/12.627569
Show Author Affiliations
Ravil R. Agishev, Kazan State Technical Univ. (Russia)
City College/CUNY (United States)
Barry Gross, City College/CUNY (United States)
Adolfo Comeron, Univ. Politecnica de Catalunya (Spain)

Published in SPIE Proceedings Vol. 5979:
Remote Sensing of Clouds and the Atmosphere X
Klaus Schäfer; Adolfo T. Comerón; James R. Slusser; Richard H. Picard; Michel R. Carleer; Nicolaos Sifakis, Editor(s)

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