Affiliation:
1. School of Physics Science and Information Technology, Liaocheng University, Liaocheng 252000, China
2. School of Physics and Technology, University of Jinan, Jinan 250022, China
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 C2H2 concentration. The results showed that the PSO-based concentration retrieval technique is about 63 times faster than the LM-based one in achieving the same accuracy. Within 5 s, the PSO-based technique can produce findings that are generally consistent with the values anticipated.
Funder
National Natural Science Foundation of China
Promotive Research Fund for Excellent Young and Middle-aged Scientists of Shandong Province
Youth Innovation Technology Support Program of Shan-dong Province Colleges and Universities under Grant
Scientific Research Foundation of Liaocheng University
Startup Foundation for Advanced Talents of Liaocheng University
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry