An accurate modeling, simulation, and analysis tool for predicting and estimating Raman LIDAR system performance

Robert J. Grasso; Leonard P. Russo; John L. Barrett; Jefferson E. Odhner; Paul I. Egbert

doi:10.1117/12.734504

26 September 2007 An accurate modeling, simulation, and analysis tool for predicting and estimating Raman LIDAR system performance

Robert J. Grasso, Leonard P. Russo, John L. Barrett, Jefferson E. Odhner, Paul I. Egbert

Author Affiliations +

Proceedings Volume 6681, Lidar Remote Sensing for Environmental Monitoring VIII; 66810D (2007) https://doi.org/10.1117/12.734504
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

BAE Systems presents the results of a program to model the performance of Raman LIDAR systems for the remote detection of atmospheric gases, air polluting hydrocarbons, chemical and biological weapons, and other molecular species of interest. Our model, which integrates remote Raman spectroscopy, 2D and 3D LADAR, and USAF atmospheric propagation codes permits accurate determination of the performance of a Raman LIDAR system. The very high predictive performance accuracy of our model is due to the very accurate calculation of the differential scattering cross section for the specie of interest at user selected wavelengths. We show excellent correlation of our calculated cross section data, used in our model, with experimental data obtained from both laboratory measurements and the published literature. In addition, the use of standard USAF atmospheric models provides very accurate determination of the atmospheric extinction at both the excitation and Raman shifted wavelengths.

Citation Download Citation

Robert J. Grasso, Leonard P. Russo, John L. Barrett, Jefferson E. Odhner, and Paul I. Egbert "An accurate modeling, simulation, and analysis tool for predicting and estimating Raman LIDAR system performance", Proc. SPIE 6681, Lidar Remote Sensing for Environmental Monitoring VIII, 66810D (26 September 2007); https://doi.org/10.1117/12.734504

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