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

Sensors (Basel). 2023 Jul 13;23(14):6374. doi: 10.3390/s23146374.

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.

Keywords: calibration-free; particle swarm optimization algorithm; spectral fitting; wavelength modulated spectroscopy.

Grants and funding

National Natural Science Foundation of China (61705080); Promotive Research Fund for Excellent Young and Middle-aged Scientists of Shandong Province (ZR2016FB17, BS2015DX005); the Youth Innovation Technology Support Program of Shan-dong Province Colleges and Universities under Grant (2019KJJ011); Scientific Research Foundation of Liaocheng University (318012101); Startup Foundation for Advanced Talents of Liaocheng University (318052156, 318052157).