Remote Infrared Vapor Detection of Volatile Organic Compounds

Abstract

In many open-air monitoring applications of Fourier transform spectrometry (FTS), the lack of a valid background reference spectrum limits the ability to perform quantitative measurements. Suppression of the broad band detector envelope overcomes this limitation. Interferogram processing provides a means of suppressing the broad band background, while maintaining the target spectral signatures of interest. A combination of interferogram segment selection, digital filtering, and pattern discrimination techniques achieve the background suppression of the variable broad band detector envelope. The spectral band position, width, and strength of the target vapor determine the parameters that are used for background suppression. Interferogram segment selection depends primarily on spectral band width. Digital filter design requires inputs of spectral band position and width. The pattern discrimination techniques compensate for variation in the spectral band contour with signal strength. The FTS in the laboratory and open-air trials demonstrate the utility of the background suppression approach in environmental monitoring of volatile organic compounds. Fourier transform spectrometry, Digital filtering, Multilinear discriminants.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1993
Accession Number
ADA276982

Entities

People

  • G. W. Small
  • R. B. Knapp
  • R. J. Combs
  • R. T. Kroutil

Organizations

  • Edgewood Chemical Biological Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Analytical Chemistry
  • Chemistry
  • Detection
  • Detectors
  • Digital Filters
  • Environmental Monitoring
  • False Alarms
  • Filters
  • Filtration
  • Interferograms
  • Measurement
  • Organic Compounds
  • Pattern Recognition
  • Spectra
  • Spectrometry
  • Volatile Organic Compounds
  • Warning Systems

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Image Processing and Computer Vision.