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30 November 1999 Estimating vapor concentration using range-resolved lidar with frequency-agile lasers
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Estimating the range dependence of vapor concentration with range-resolved lidar is a challenging problem because of the weak returns provided by atmospheric aerosols and the rapid decrease in signal-to-noise ratio with range. This paper summarizes an earlier approach for constructing a statistically optimal estimator for the range dependent vapor concentration using data from multiwavelength frequency-agile lidar. The estimates of path-integrated concentration from this algorithm are compared with those made using a previously derived Kalman filter on data collected by topographic backscatter from a mountain range. In addition, the range- resolved concentration estimation algorithm is generalized to the case of multiple vapor materials. The algorithms are illustrated on a combination of synthetic and field test data collected recently by SBCCOM at the Department of Energy Nevada Test Site.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Russell E. Warren, Richard G. Vanderbeek, and Francis M. D'Amico "Estimating vapor concentration using range-resolved lidar with frequency-agile lasers", Proc. SPIE 3855, Air Monitoring and Detection of Chemical and Biological Agents II, (30 November 1999);

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