共 33 条
Enhanced Sensitivity of CO Photoacoustic Sensors Using Empirical Mode Decomposition Denoising Algorithm
被引:3
作者:
Li, Lei
[1
]
Tang, Liping
[1
]
Han, Fengtao
[1
]
Wang, Shenghui
[1
]
Gao, Yang
[1
]
Qiao, Yingying
[1
]
Shan, Chongxin
[1
]
机构:
[1] Zhengzhou Univ, Sch Phys & Microelect, Zhengzhou 450001, Peoples R China
来源:
IEEE PHOTONICS JOURNAL
|
2022年
/
14卷
/
03期
基金:
中国国家自然科学基金;
关键词:
Absorption;
Signal to noise ratio;
Sensors;
Noise reduction;
Sensitivity;
Spectroscopy;
Filtering algorithms;
CO sensor;
empirical mode decomposition algorithm;
near-infrared light source;
photoacoustic spectroscopy;
NEAR-INFRARED LASER;
CARBON-MONOXIDE;
GAS SENSOR;
SPECTROSCOPY;
WAVELENGTH;
RESONANCE;
SPECTRUM;
D O I:
10.1109/JPHOT.2022.3168966
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
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 similar to 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.
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页数:7
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