Paper
29 March 1996 Comprehensive system model for CO2 DIAL
Mark J. Schmitt, Brian D. McVey, Bradly J. Cooke, George E. Busch
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Abstract
The Simulation and Optimization Numerics for DIAL (SONDIAL) code is described. An overview of the code structure is given consisting of individual models for the lidar hardware linked to a set of models for the natural environment through which the laser energy must traverse. The affects of the environment are contained in the field models. A detailed description of the field models is given including the effects of the atmosphere, plume and target on the return statistics of the radiation. The atmosphere attenuates and scatters the laser light. Atmospheric extinction has both spectral and temporal structure that can cause bias and correlation in the DIAL measurements. The results of FASCODE calculations utilizing the HITRAN database are used to assess the magnitude of these effects. Atmospheric turbulence spatially modulates the intensity footprint at the target and modifies the statistics of the return light collected by the receiver aperture. The roughness of the target produces speckle at the receiver, the statistics of which are given by the intensity distribution on the target surface. An albedo model that includes the effects of (macroscopic) spatial reflectivity variations of typical natural targets on the system single-shot signal-to-noise ratio is described. To address the effect of footprint size and position on effluent detection sensitivity, an overlap calculation between a Gaussian plume model and the optical footprint is performed. Validation comparisons between the model and experimental data are given.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark J. Schmitt, Brian D. McVey, Bradly J. Cooke, and George E. Busch "Comprehensive system model for CO2 DIAL", Proc. SPIE 2702, Gas and Chemical Lasers, (29 March 1996); https://doi.org/10.1117/12.236906
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Cited by 3 scholarly publications.
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KEYWORDS
Signal to noise ratio

Speckle

Atmospheric modeling

LIDAR

Receivers

Turbulence

Speckle pattern

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