TDLAS noise reduction algorithm for the raw spectral data under strong interference conditions

Shuyao Wang; Jinwei Lv; Tao Zhou; Xiaodong Jia; Jianzhong Su

doi:10.1117/12.2073092

3 December 2014 TDLAS noise reduction algorithm for the raw spectral data under strong interference conditions

Shuyao Wang, Jinwei Lv, Tao Zhou, Xiaodong Jia, Jianzhong Su

Proceedings Volume 9297, International Symposium on Optoelectronic Technology and Application 2014: Laser and Optical Measurement Technology; and Fiber Optic Sensors; 92971U (2014) https://doi.org/10.1117/12.2073092
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

Tunable diode laser absorption spectroscopy (TDLAS) is a high-resolution infrared laser absorption spectroscopy technique with a non-contact measurement, high spatial and temporal resolution, extensive measurement information, which has been a hot research area at present. Compared to traditional techniques, TDLAS technology has many advantages, but in engineering applications under complex environmental conditions, TDLAS technology is still facing many difficulties. Because of the impact of environmental factors, the measured spectral signal would be distorted, and cannot be used to extract useful information. Therefore, to extract useful information from the raw signal, it is essential to improve the signal to noise ratio. To eliminate interference information contained in the spectral signal, the absorption spectra of the laboratory intends to take data preprocessing methods. In the preprocess, the Empirical Mode Desperation (EMD) method is developed in recent years, which is a new self-adaptive local frequency analysis method. Compared to the method of wavelet denoising, EMD method with adaptive filters is able to achieve a multi-scale decomposition of the noise signal. In this paper, EMD method is taken to eliminate noise and interference signal source decomposition. By reconstructing the actual signal and eliminating the noise components, a better SNR can be achieved.

Citation Download Citation

Shuyao Wang, Jinwei Lv, Tao Zhou, Xiaodong Jia, and Jianzhong Su "TDLAS noise reduction algorithm for the raw spectral data under strong interference conditions", Proc. SPIE 9297, International Symposium on Optoelectronic Technology and Application 2014: Laser and Optical Measurement Technology; and Fiber Optic Sensors, 92971U (3 December 2014); https://doi.org/10.1117/12.2073092

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available