Vapor Detection Sensitivity as a Function of Optical Resolution for a Single Lorentzian Band

Abstract

The objective of this effort is twofold: to begin the development of a computer model for passive infrared (IR) remote sensing vapor detection systems and to provide guidance for the determination of optimum spectral resolution for the remote detection of organic vapors. The target bands are modeled as Lorentzian bands; this allows a fairly simple analytical approach. Several sensor models are compared including: a detector limited sensor model according to Wolfe, and 2 background limited incident photon (BLIP) models based on work by Wolfe and Kingston. The measures of sensitivity are signal to noise ratio (SNR), noise equivalent concentration pathlength (NECL) and noise equivalent delta(T) (NEDT) all as a function of optical bandwidth. Signal to noise ratio, NECL and NEDT values are computed for a typical broad and narrow band associated with organophosphorus compounds. Additionally, the simulant, sulfur hexafluoride (SF6) is evaluated. The results show that gains in sensitivity may be possible in existing remote sensors if the current optical resolution 4/cm, is reduced to 8/cm or 16/cm, although this must be done carefully to ensure no loss in discrimination. It is clear that present systems are limited by detector technology. With true background limited performance and careful optimization to a particular problem, sensitivity improvements of 50 may be possible. D*, Infrared, Signal to noise, FTS, Detection, Fourier transform, XM21, Sensitivity, Optical resolution.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1994
Accession Number
ADA283444

Entities

People

  • Dennis F. Flanigan

Organizations

  • Edgewood Chemical Biological Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Analytical Chemistry
  • Bandwidth
  • Chemical Warfare Agents
  • Chemistry
  • Computers
  • Detection
  • Detectors
  • Frequency
  • Measurement
  • Organic Compounds
  • Organophosphorus Compounds
  • Pattern Recognition
  • Recognition
  • Remote Sensing
  • Spectra
  • Spectroscopy
  • Standards

Fields of Study

  • Physics

Readers

  • Radar Systems Engineering.
  • Spectroscopy.
  • Systems Analysis and Design