Paper
1 November 2012 Application of independent component analysis method in real-time spectral analysis of gaseous mixtures for acousto-optical spectrometers based on differential optical absorption spectroscopy
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Abstract
It is discussed the reliability problem of time-optimized method for remote optical spectral analysis of gas-polluted ambient air. The method based on differential optical absorption spectroscopy (DOAS) enables fragmentary spectrum registration (FSR) and is suitable for random-spectral-access (RSA) optical spectrometers like acousto-optical (AO) ones. Here, it is proposed the algorithm based on statistical method of independent component analysis (ICA) for estimation of a correctness of absorption spectral lines selection for FSR-method. Implementations of ICA method for RSA-based real-time adaptive systems are considered. Numerical simulations are presented with use of real spectra detected by the trace gas monitoring system GAOS based on AO spectrometer.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. V. Fadeyev and V. E. Pozhar "Application of independent component analysis method in real-time spectral analysis of gaseous mixtures for acousto-optical spectrometers based on differential optical absorption spectroscopy", Proc. SPIE 8535, Optics in Atmospheric Propagation and Adaptive Systems XV, 85350C (1 November 2012); https://doi.org/10.1117/12.974426
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Cited by 3 scholarly publications.
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KEYWORDS
Independent component analysis

Spectrometers

Adaptive optics

Algorithm development

Statistical analysis

Absorption spectroscopy

Acousto-optics

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