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Proceedings Paper

The study of the noise immunity of chip spectrometer based on sparse recovery
Author(s): Feiying Sun; Zheng Yang; Peng Wu; Liangping Xia; Xiuhui Sun; Changbin Nie; Jun Cui; Shaoyun Yin; Chunlei Du
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Paper Abstract

The noise immunity of spectral detection is analyzed theoretically for the kind of chip spectrometer based on the combine of integrated filter matrix and sparse recovery. With the sparse representation algorithm, the mathematic model of the detection noise and condition number of filter matrix is built for the Gaussian shaped incident spectrum. In the simulations, the filter matrix with different condition number is produced by changing the cavity length with the fabry perot (FP) interference model. An exponential relationship between the spectrum recovery variance and the condition number is obtained, which is consistent with the built theory model. The result reveals that when the condition number of filter matrix is 103 level, the noise tolerance of chip spectrometer will be as large as 10% when the variance is about 5 ×10-3 in the sparse recovery.

Paper Details

Date Published: 19 October 2016
PDF: 6 pages
Proc. SPIE 10152, High Power Lasers, High Energy Lasers, and Silicon-based Photonic Integration, 101520W (19 October 2016); doi: 10.1117/12.2246783
Show Author Affiliations
Feiying Sun, Chongqing Institute of Green and Intelligent Technology (China)
Zheng Yang, Chongqing Institute of Green and Intelligent Technology (China)
Peng Wu, Chongqing Institute of Green and Intelligent Technology (China)
Liangping Xia, Chongqing Institute of Green and Intelligent Technology (China)
Xiuhui Sun, Chongqing Institute of Green and Intelligent Technology (China)
Changbin Nie, Chongqing Institute of Green and Intelligent Technology (China)
Jun Cui, Chongqing Institute of Green and Intelligent Technology (China)
Shaoyun Yin, Chongqing Institute of Green and Intelligent Technology (China)
Chunlei Du, Chongqing Institute of Green and Intelligent Technology (China)


Published in SPIE Proceedings Vol. 10152:
High Power Lasers, High Energy Lasers, and Silicon-based Photonic Integration
Lijun Wang; Zhiping Zhou, Editor(s)

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