基于Lorentzian模型与伪Voigt模型的谱拟合算法的准确性比较OA

In order to compare the accuracy of two spectrum fitting algorithms based on the Lorentzian model and the pseu-do-Voigt model,a distributed optical fiber sensing principle based on Brillouin scattering is used.Firstly,the calculation results of the measured Brillouin spectra using the Lorentzian model and the pseudo-Voigt model are compared.Then,The Brillouin spec-trum with different shapes and signal-to-noise ratios is generated numerically through the pseudo-Voigt model,and the Brillouin frequency shift is calculated using spectral fitting methods based on the Lorentzian model and the pseudo-Voigt model,respec-tively.Finally,the accuracy of these two algorithms is compared.The simulation results show that underdifferent Brillouin spec-trum shapes and signal-to-noise ratio conditions,the computational accuracy of the spectrum fitting algorithm based on the Lorentzian model and the pseudo-Voigt model is similar,but the former requires less computation than the latter.