Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Fast Remote Detection Algorithms for Chemical Gases Using Pre-Detection with a Passive FTIR Spectrometer

수동형 FTIR 분광계에서 초동 탐지 기법을 이용한 고속 원거리 화학 가스 탐지 알고리즘

  • Yu, Hyeonggeun (School of Electrical Engineering, Korea Advanced Institute of Science and Technology) ;
  • Park, Dongjo (School of Electrical Engineering, Korea Advanced Institute of Science and Technology) ;
  • Nam, Hyunwoo (The 4th Research and Development Institute, Agency for Defense Development) ;
  • Park, Byeonghwang (The 4th Research and Development Institute, Agency for Defense Development)
  • 유형근 (한국과학기술원 전기및전자공학부) ;
  • 박동조 (한국과학기술원 전기및전자공학부) ;
  • 남현우 (국방과학연구소 제4기술연구본부) ;
  • 박병황 (국방과학연구소 제4기술연구본부)
  • Received : 2018.05.04
  • Accepted : 2018.10.05
  • Published : 2018.12.05
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Abstract

In this paper, we propose a fast detection and identification algorithm of chemical gases with a passive FTIR spectrometer. We use a pre-detection algorithm that can reduce the spatial region effectively for gas detection and the candidates of the target. It is possible to remove background spectra effectively from measured spectra with the least-squares method. The CC(Correlation Coefficients) and the SNR(Signal-to-Noise Ratio) methods are used for the detection of target gases. The proposed pre-detection algorithm allows the total process of chemical gas detection to be performed with lower complexity compared with the conventional algorithms. This paper can help developing real-time chemical detection instruments and various applications of FTIR spectrometers.

Keywords

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Fig. 1. Three-layer model

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Fig. 2. Flow chart of detection algorithm

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Fig. 3. Result of a fitting process at pre-detection

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Fig. 4. Result of the pre-detection(left), a region of interesting areas(right)

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Fig. 5. Result of a background fitting process atprecise-detection

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Fig. 6. HI 90 - FTIR remote sensing system

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Fig. 7. Detection result for various target gases: sulfur hexafluoride, ammonia, methanol from the top

Table 1. Comparisons of detection time whether predetection is implemented or not

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