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Proceedings Paper

Revisiting Raman lidar: application of new techniques to improve system performance
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Paper Abstract

BNL has been developing a remote sensing technique for the detection of atmospheric pollutants using resonance Raman LIDAR that has also incorporated a number of new techniques/technologies designed to extend it performance envelope. Chief among these new techniques is the use of pattern recognition to take advantage of the spectral fingerprint and a new laser frequency modulation technique, referred to as Frequency Modulated Excitation Raman Spectroscopy, designed to suppress broadband fluorescence. In the laboratory, broadband fluorescence suppression approaching 3 orders-of-magnitude has been achieved. In addition, the application of a BNL designed knife-edge Rayleigh filter has also bee demonstrated using our LIDAR system where spectral features as close as 200 cm-1 from the excitation line were observed. How all these features help increase the overall performance of Raman LIDAR will be discussed.

Paper Details

Date Published: 12 November 1996
PDF: 11 pages
Proc. SPIE 2833, Application of Lidar to Current Atmospheric Topics, (12 November 1996); doi: 10.1117/12.258154
Show Author Affiliations
Carl G. Chen, Brookhaven National Lab. (United States)
Arthur J. Sedlacek, Brookhaven National Lab. (United States)


Published in SPIE Proceedings Vol. 2833:
Application of Lidar to Current Atmospheric Topics
Arthur J. Sedlacek, Editor(s)

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