A Firefly Algorithm-based Spectral Fitting Technique for Wavelength Modulation Spectroscopy Systems
Abstract
This paper proposes a novel calibration-free wavelength modulated spectroscopy (WMS) spectral fitting technique based on the firefly algorithm. The technique by simulating the information interaction behavior between fireflies to achieve the retrieval of gas concentration and laser parameters. Contrasted with the spectral fitting technique based on the classical Levenberg-Marquardt (LM) algorithm, the retrieval of gas concentrations by this technique is weakly dependent on the pre-characterization of the laser parameters. We select the P(13) absorption line of C2H2 at 1532.82 nm as the target spectra and compare the performance of two optimization method (LM and firefly) on gas concentration and laser parameters retrieval by simulation. The simulation results show that the spectral fitting technique based on the firefly algorithm performs better in terms of convergence speed and fitting accuracy, especially in the multi-parameter model without exact characterization.
Keywords
Cite
@article{arxiv.2210.16543,
title = {A Firefly Algorithm-based Spectral Fitting Technique for Wavelength Modulation Spectroscopy Systems},
author = {Tingting Zhang and Yongjie Sun and Pengpeng Wang and Yufeng Qiu and Chenxi Wang and Xiaohui Du and Shaokai Li and Haixu Liu and Tongwei Chu and Cunguang Zhu},
journal= {arXiv preprint arXiv:2210.16543},
year = {2022}
}