Concentration Retrieval in a Calibration-Free Wavelength Modulation Spectroscopy System Using Particle Swarm Optimization Algorithm.

Tingting Zhang, Yongjie Sun, Pengpeng Wang, Cunguang Zhu

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Tingting ZhangSchool of Physics Science and Information Technology, Liaocheng University, Liaocheng 252000, China.

Yongjie SunSchool of Physics and Technology, University of Jinan, Jinan 250022, China.

Pengpeng WangSchool of Physics Science and Information Technology, Liaocheng University, Liaocheng 252000, China.

Cunguang ZhuSchool of Physics Science and Information Technology, Liaocheng University, Liaocheng 252000, China.ORCID 0000-0003-2343-7689

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper develops a concentration retrieval technique based on the particle swarm optimization (PSO) algorithm, which is used for a calibration-free wavelength modulation spectroscopy system. As compared with the commonly used technique based on the Levenberg-Marquardt (LM) algorithm, the PSO-based method is less dependent on the pre-characterization of the laser tuning parameters. We analyzed the key parameters affecting the performance of the PSO-based technique and determined their optimal parameter values through testing. Furthermore, we conducted a comparative analysis of the efficacy of two techniques in detecting C

Indexed as

calibration-freeparticle swarm optimization algorithmspectral fittingwavelength modulated spectroscopy

Identifiers

PMID37514667

DOI10.3390/s23146374

PMCPMC10386339

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