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Fei Chen

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Proceedings Article | 20 November 2019

Study on correlation matrix composed of multidimensional polarization index applied in aerosol recognition in the air

Fei Chen, Nan Zeng

Proc. SPIE. 11192, Real-time Photonic Measurements, Data Management, and Processing IV

KEYWORDS: Polarization, Scattering, Aerosols

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In this work, we present an in situ online aerosol recognition scheme by synchronized parallel polarization scattering analysis. We develop a measurement system based on multi-angle optical scattering and multidimensional polarization analyzing technique.Using the synchronized polarization information measured by this system, we can obtain the correlation coefficient, which is the representation of the relative relationship between the two polarization indices. We use the twodimensional information represented by correlation coefficient to describe the polarization characteristics of different types of aerosols instead of the average or histogram of one-dimensional polarization index.The number of correlation coefficients among more than three indicators exceeds the number of original indicators themselves, so the original information can be further interpreted and expanded.Since our system can simultaneously detect four normalized polarization indices online, we also synthesize the correlation coefficient groups among these indices to form the correlation matrix.The correlation matrix contains abundant data information, and some special elements or element combinations of the matrix are effective for identifying specific types of aerosol particles.We constructed an evaluation vector to distinguish different types of aerosols represented by different correlation matrices.In addition, the potential physical significance of each element of the vector and the aerosol physical properties it represents are preliminarily studied.The experimental data confirm the application prospect of correlation matrix in the rapid and effective identification of atmospheric pollutants.

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