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Proceedings Paper

Detection algorithm for gaseous pollutants using signal processing techniques on FTIR interferograms
Author(s): Joel M. Morris; Srinath Balasubramanian; Meijun Guo; Lalitha Sankaranarayanan
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Paper Abstract

Environmental monitoring with passive Fourier transform infrared (FTIR) spectroscopy offers an effective method for the identification and quantification of hazardous gas pollutants. Infrared spectroscopy reveals the spectral signature of the pollutant when there is a temperature difference between the pollutant and the background radiation, resulting in emission or absorption by the pollutant. The US Army has a lightweight standoff chemical agent sensor system that generates 1024-point interferograms. The interferogram, being nonstationary, has special features that develop as a function of time. Appropriate signal processing techniques enable real-time detection and can eliminate the need for background radiation references. An algorithm has been developed for the detection of gaseous pollutants/chemical agents with single- or multiple-peak spectra. It exploits the time-dependent spectral behavior and employs signal processing techniques to enhance the spectral signature of interest in both time and frequency domains jointly, thus facilitating detection. The algorithm has been successfully developed and tested, via laboratory and real data, for the single-peak spectral signature pollutant SF6; the signal processing concept has been extended to DEMP, DIMP, DMMP, and TEP as representatives of multiple-peak spectral signature pollutants. The algorithm software is written in the C language; the SF6 algorithm was implemented on the Motorola M96002 DSP chip for real-time processing studies.

Paper Details

Date Published: 10 February 1995
PDF: 10 pages
Proc. SPIE 2366, Optical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements, (10 February 1995); doi: 10.1117/12.205565
Show Author Affiliations
Joel M. Morris, Univ. of Maryland/Baltimore County (United States)
Srinath Balasubramanian, Univ. of Maryland/Baltimore County (United States)
Meijun Guo, Univ. of Maryland/Baltimore County (United States)
Lalitha Sankaranarayanan, Univ. of Maryland/Baltimore County (United States)


Published in SPIE Proceedings Vol. 2366:
Optical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements

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