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Proceedings Paper

Kalman-filter-based algorithm for detection and discrimination of aerosols with range-resolved frequency-agile lidar data
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Paper Abstract

A Kalman Filter based algorithm capable of detecting and discriminating one or more aerosol clouds as a function of range will be presented. The traditional Differential Scattering (DISC) technique does not optimally utilize all the information available with tunable LIDAR sensors. For this reason, the authors have investigated an alternative approach that can better handle the general multi-material multi-wavelength scenario. The processing is developed around a statistical signal model that includes additive noise and the effect of a finite laser pulse duration. This algorithm was tested using data that was generated to simulate the response of the Army's FAL sensor. The algorithm is shown to be able discriminate between three materials.

Paper Details

Date Published: 27 November 2002
PDF: 10 pages
Proc. SPIE 4789, Algorithms and Systems for Optical Information Processing VI, (27 November 2002); doi: 10.1117/12.450900
Show Author Affiliations
Richard G. Vanderbeek, U.S. Army Soldier and Biological Chemical Command (United States)
Russell E. Warren, EO-Stat Inc. (United States)

Published in SPIE Proceedings Vol. 4789:
Algorithms and Systems for Optical Information Processing VI
Bahram Javidi; Demetri Psaltis, Editor(s)

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