Paper
12 November 1996 Revisiting Raman lidar: application of new techniques to improve system performance
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Carl G. Chen and Arthur J. Sedlacek III "Revisiting Raman lidar: application of new techniques to improve system performance", Proc. SPIE 2833, Application of Lidar to Current Atmospheric Topics, (12 November 1996); https://doi.org/10.1117/12.258154
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Cited by 4 scholarly publications.
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KEYWORDS
Raman spectroscopy

LIDAR

Luminescence

Iodine

Sensors

Remote sensing

Chemical analysis

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