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Real-time infrared gas detection based on an adaptive Savitzky–Golay algorithm

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Abstract

Based on the Savitzky–Golay filter, we have developed in the present study a simple but robust method for real-time processing of tunable diode laser absorption spectroscopy (TDLAS) signals. Our method was developed to resolve the blindness of selecting the input filter parameters and to mitigate potential signal distortion induced in digital signal processing. Application of the developed adaptive Savitzky–Golay filter algorithm to the simulated and experimentally observed signals and comparison with the wavelet-based de-noising technique indicate that the newly developed method is effective in obtaining high-quality TDLAS data for a wide variety of applications including atmospheric environmental monitoring and industrial processing control.

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Acknowledgments

This work was supported in part by Anhui University personnel recruiting project of academic and technical leaders (Grant No. 10117700014), the Natural Science Fund of Anhui Province under Grant 1508085MF118, the National Natural Science Foundation of China under Grant 61440010, and the key Science and Technology Development Program of Anhui Province under Grant 1501041136. We thank two anonymous reviewers and editors for their useful comments on the manuscript. Special thanks go to Prof. A.P. Yalin (Colorado State University) for his helpful discussion and careful reading of the manuscript.

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Authors and Affiliations

  1. Key Laboratory of Opto-Electronic Information Acquisition and Manipulation of Ministry of Education, Anhui University, Hefei, 230039, China

    Jingsong Li, Hao Deng, Pengfei Li & Benli Yu

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  1. Jingsong Li
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  2. Hao Deng
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  3. Pengfei Li
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  4. Benli Yu
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Correspondence to Jingsong Li.

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Li, J., Deng, H., Li, P. et al. Real-time infrared gas detection based on an adaptive Savitzky–Golay algorithm. Appl. Phys. B 120, 207–216 (2015). https://doi.org/10.1007/s00340-015-6123-z

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  • DOI: https://doi.org/10.1007/s00340-015-6123-z

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