Lidar performance prediction by dimensionless SNR-parameterization

Ravil R. Agishev; Barry Gross; Adolfo Comeron

doi:10.1117/12.627569

1 November 2005 Lidar performance prediction by dimensionless SNR-parametrization

Ravil R. Agishev, Barry Gross, Adolfo Comeron

Proceedings Volume 5979, Remote Sensing of Clouds and the Atmosphere X; 59791G (2005) https://doi.org/10.1117/12.627569
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

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.

Citation Download Citation

Ravil R. Agishev, Barry Gross, and Adolfo Comeron "Lidar performance prediction by dimensionless SNR-parametrization", Proc. SPIE 5979, Remote Sensing of Clouds and the Atmosphere X, 59791G (1 November 2005); https://doi.org/10.1117/12.627569

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