论文标题
波长调制光谱系统的基于萤火虫算法的光谱拟合技术
A Firefly Algorithm-based Spectral Fitting Technique for Wavelength Modulation Spectroscopy Systems
论文作者
论文摘要
本文提出了一种基于萤火虫算法的新型无校准波长调制光谱（WMS）光谱拟合技术。通过模拟萤火虫之间的信息相互作用行为以实现气体浓度和激光参数的检索来进行该技术。与基于经典的Levenberg-Marquardt（LM）算法的光谱拟合技术形成鲜明对比的是，通过该技术的气体浓度检索很弱取决于激光参数的预性。我们在1532.82 nm处选择C2H2的P（13）吸收系作为目标光谱，并通过模拟对气体浓度和激光参数检索的两种优化方法（LM和Firefly）的性能进行比较。仿真结果表明，基于萤火虫算法的光谱拟合技术在收敛速度和拟合精度方面表现更好，尤其是在没有精确表征的多参数模型中。
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.
