Signal analytical processing based on wavelet transform for tunable diode laser absorption spectroscopy

Hua Xia; Feng-zhong Dong; Zhi-rong Zhang; Guo-jie Tu; Tao Pang; Bian Wu; Yu Wang

doi:10.1117/12.871629

9 November 2010 Signal analytical processing based on wavelet transform for tunable diode laser absorption spectroscopy

Hua Xia, Feng-zhong Dong, Zhi-rong Zhang, Guo-jie Tu, Tao Pang, Bian Wu, Yu Wang

Proceedings Volume 7853, Advanced Sensor Systems and Applications IV; 785311 (2010) https://doi.org/10.1117/12.871629
Event: Photonics Asia 2010, 2010, Beijing, China

Abstract

Gas analysis based on tunable diode laser absorption spectroscopy (TDLAS) provides features of high sensitivity, fast response and high selectivity. When target gas concentration is below a few parts-per-million spectrometers become more and more sensitive towards noise, interference, drift effects and background changes associated with low level signals. It is purpose of this paper to address some of the problems which are encountered at this low signal levels and to describe a signal processing strategy for gas monitoring with wavelet transform. Different parameters of wavelet by taking gas detection of H₂S as an illustration are studied and an improved wavelet-based signal enhancement process is proposed based on the feature of TDLAS second-harmonic signal. The algorithm uses bior3.9 wavelet basic function and multi-resolution decomposition. The results show a plausible improvement in performance of TDLAS system and enhancement of detection limit from 10ppm to hundreds of ppb level under various noise conditions.

Citation Download Citation

Hua Xia, Feng-zhong Dong, Zhi-rong Zhang, Guo-jie Tu, Tao Pang, Bian Wu, and Yu Wang "Signal analytical processing based on wavelet transform for tunable diode laser absorption spectroscopy", Proc. SPIE 7853, Advanced Sensor Systems and Applications IV, 785311 (9 November 2010); https://doi.org/10.1117/12.871629

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