NDLI: Detecting aerosols and vapors with Fourier-transform infrared spectrometers

Content Provider	IEEE Xplore Digital Library
Author	Ben-David, A. D'Amico, F.M.
Copyright Year	2005
Abstract	Two experiments are conducted with a Fourier transform infrared (FTIR) spectrometer. (1) to detect and identify Bacillus subtilis subsp. niger (BG) bio-aerosol in an open-air release and (2) to estimate the concentration of a small amount of triethyl phosphate (TEP) vapor in a closed chamber. The algorithms are based on radiative transfer theory and statistical signal processing methods. A subspace orthogonal projection operator is used to statistically subtract the large thermal background contribution to the measurements and a robust maximum likelihood solution is used to deduce the target spectrum and estimate its mass-column concentration. The deduced BG (TEP) extinction spectrum matched the library spectrum very well. The estimation of the TEP vapor time-dependent concentration is excellent. Detection threshold and probabilities of detection and false alarm are computed (expectation-maximization) with a Gaussian-mixture model. The results of this study are encouraging, as they suggest, for the first time to our knowledge, the feasibility of detecting bio-aerosols with passive FTIR sensors
Starting Page	2012
Ending Page	2021
File Size	11148191
Page Count	10
File Format	PDF
ISBN	0780388704
DOI	10.1109/AERO.2005.1559492
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Infrared detectors Infrared spectra Aerosols Spectroscopy Signal processing algorithms Fourier transforms Biomedical signal processing Robustness Maximum likelihood detection Maximum likelihood estimation
Content Type	Text
Resource Type	Article

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