DOAJ Open Access 2022

Enhanced Sensitivity of CO Photoacoustic Sensors Using Empirical Mode Decomposition Denoising Algorithm

Lei Li Liping Tang Fengtao Han Shenghui Wang Yang Gao +2 lainnya

Abstrak

A CO sensor based on photoacoustic spectroscopy (PAS) with empirical mode decomposition (EMD) algorithm is investigated and demonstrated in this paper. In the PAS system, the complicated photo-thermal-acoustic conversion is a nonlinear and non-stationary process and contains various noise. In order to compensate the low signal-to-noise ratio (SNR), the EMD is introduced in the PAS system to deal with the photoacoustic signal. The experimental results show that a gain factor of ∼3.0 on the SNR is achieved and the sensor has an excellent linear response to the gas concentration. The minimum detection level (MDL) for CO detection is reduced to 1.14 ppm with a 300 ms integrated time at room temperature and atmospheric pressure.

Penulis (7)

L

Lei Li

L

Liping Tang

F

Fengtao Han

S

Shenghui Wang

Y

Yang Gao

Y

Yingying Qiao

C

Chongxin Shan

Format Sitasi

Li, L., Tang, L., Han, F., Wang, S., Gao, Y., Qiao, Y. et al. (2022). Enhanced Sensitivity of CO Photoacoustic Sensors Using Empirical Mode Decomposition Denoising Algorithm. https://doi.org/10.1109/JPHOT.2022.3168966

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Informasi Jurnal
Tahun Terbit
2022
Sumber Database
DOAJ
DOI
10.1109/JPHOT.2022.3168966
Akses
Open Access ✓