A Method for Correcting the Interference of Overlapping Absorption Lines Using Second Harmonic Spectral Reconstruction

Yue, Hou; Huang, K.Q.

doi:10.3390/app12010073

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…Some scholars use the ethanol signal variable correction model to improve the detection accuracy [6] [7] . Adding a reference optical path to eliminate the background interference of water vapor is also an effective means [8][9][10][11][12][13][14] . Gao et al proposed to use an ICL laser with a wide tuning range and a multi-wavelength detection algorithm to correct the fitting relationship between the 2f signal and the ethanol concentration, the maximum error was 2ppm*m [15] .…”

Section: Introductionmentioning

confidence: 99%

Algorithm study and simulation analysis of double amplitude modulated for stand-off detection of ethanol

Zhang

Zhou²,

Yu³

et al. 2023

International Conference on Precision Instruments and Optical Engineering (PIOE 2022)

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Ethanol has a characteristic narrow band absorption peak (2989.6 cm-1) that overlaps heavily with the airborne water vapour spectrum, severely affecting detection accuracy when the ambient humidity varies significantly. To this end it is particularly critical to investigate a method to eliminate background effects and improve the accuracy of ethanol telemetry. Firstly, the second harmonic signal of ethanol concentration under 5000~20000ppm*m water vapour environment was simulated by multi-functional fitting method, and the multivariate linear relationship between the second harmonic amplitude and water vapour concentration and ethanol concentration is obtained. Two sets of signals were obtained in one triangular wave period using double modulated amplitude and linear regression was used to solve the coefficients of the two equations, which in turn inverted the ethanol concentration in other water vapour environments. Simulation results show that the maximum error is less than 2.23ppm*m. The method also eliminates the need for complex reference light paths or expensive wide-range tunable mid-infrared lasers, reduces measurement errors due to variations in ambient humidity, and provides a basis for further development of simple, miniaturised ethanol telemetry systems.

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Section: Introductionmentioning

confidence: 99%

Algorithm study and simulation analysis of double amplitude modulated for stand-off detection of ethanol

Zhang

Zhou²,

Yu³

et al. 2023

International Conference on Precision Instruments and Optical Engineering (PIOE 2022)

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“…However, in addition to a high measurement sensitivity, achieving a high speci city often poses an even greater challenge due to overlapping of the absorption spectra of different components 21 . Such an overlapping makes it di cult to retrieve the corresponding concentrations from the observed absorption peaks, especially when a large number of gas species are present in the gas mixture sample 26,27 .…”

Section: Introductionmentioning

confidence: 99%

Neural network multi-component gas mixture analysis with broadband dual-frequency comb absorption spectroscopy

Tian

Xia

Kolomenskii

et al. 2022

Preprint

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The cross interference of gas species in absorption spectroscopy is one of the most challenging obstacles for the analysis of multi-component gas mixtures with overlapping absorption features (blended spectra). We propose a multi-component gas mixture sensor combining a broadband absorption spectrum acquisition with a spectrum analysis algorithm. The sensor features a mid-infrared dual-frequency comb laser source enabling sensitive measurements in a broad spectral interval combined with a deep learning algorithm for spectral analysis to accurately identify the species and retrieve the concentrations of the gas components in the mixture. The sensor is tested with gas mixtures of three common gas species, namely methane, acetone and water vapor. The architecture tuning and model training are achieved by a physics-informed augmented dataset. The proposed spectral analysis model is evaluated firstly by comparison with two other state-of-the-art neural network algorithms (2L-ARNN and 1D-CNN). The performance of the complete sensor is then assessed by real-time measurements in realistic detection scenarios. In addition, we systematically analyzed and presented explicit visualizations explaining the inner working mechanism of the considered algorithms. The high performance of the proposed sensor suggests that it is feasible to realize schemes for more general gas mixture analysis by integrating broadband optical sensing and deep learning models.

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“…Sur et al reduced the influence of the interference signal in the measurement environment by measuring the background signal [7]. Hou et al used second harmonic spectral reconstruction to correct the interference of overlapping absorption lines [8].…”

Section: Introductionmentioning

confidence: 99%

Weak absorption detection method under broadband interference based on linear wavelength modulation spectroscopy

Liu

et al. 2022

Sixth International Symposium on Laser Interaction With Matter

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In complex environments, the measurement of trace gases is inevitably greatly affected by broadband absorption (such as water absorption in combustion exhaust). Based on the study of high-order harmonics in linear wavelength modulation spectroscopy, a method for detecting target gases (trace, weak absorption) in the presence of broadband absorption interference is proposed. Theoretical analysis and numerical simulation work give the applicable conditions of this method. The effectiveness of this method is verified by NO2 measurement of combustion exhaust gas. This study proves the application potential of this method for the measurement of trace gases under broadband absorption interference.

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A Method for Correcting the Interference of Overlapping Absorption Lines Using Second Harmonic Spectral Reconstruction

Cited by 5 publications

References 22 publications

Algorithm study and simulation analysis of double amplitude modulated for stand-off detection of ethanol

Algorithm study and simulation analysis of double amplitude modulated for stand-off detection of ethanol

Neural network multi-component gas mixture analysis with broadband dual-frequency comb absorption spectroscopy

Weak absorption detection method under broadband interference based on linear wavelength modulation spectroscopy

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