• Title of article

    Fourier domain local narrow-band signal extraction algorithm and its application to real-time infrared gas detection

  • Author/Authors

    Xie، نويسنده , , Qiong and Li، نويسنده , , Jianping and Gao، نويسنده , , Xiaoguang and Jia، نويسنده , , Jian، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    5
  • From page
    35
  • To page
    39
  • Abstract
    The local narrow-band signal (LNBS) decomposition algorithm is introduced in non-dispersive infrared (NDIR) gas detection. In order to meet the requirement of real-time detection, the original LNBS algorithm is implemented in Fourier domain to be computationally efficient. The Fourier domain LNBS decomposition algorithm is both time and space saving, so it is suitable for an embedded system. The effectiveness of the technique is evaluated by the measurement of C2H5OH gas concentration. Compared with a digital lock-in amplifier, the Fourier domain LNBS extraction has an advantage of little sensitivity to the frequency drift. Additionally, it has no lagging effect and hence the changes of the gas concentration can be measured in real time.
  • Keywords
    Local narrow-band signal decomposition , Infrared gas detection , Digital lock-in amplifier
  • Journal title
    Sensors and Actuators B: Chemical
  • Serial Year
    2010
  • Journal title
    Sensors and Actuators B: Chemical
  • Record number

    1438097