Soto Marcelo A, Jderu Alin, Dorobantu Dorel, Enachescu Marius, Ziegler Dominik
Department of Electronic Engineering, Universidad Técnica Federico Santa María, 2390123 Valparaíso, Chile.
NanoPRO START MC S.R.L., 041337 Bucharest, Romania.
Sensors (Basel). 2020 Dec 30;21(1):187. doi: 10.3390/s21010187.
A high-order polynomial fitting method is proposed to accelerate the computation of double-Gaussian fitting in the retrieval of the Brillouin frequency shifts (BFS) in optical fibers showing two local Brillouin peaks. The method is experimentally validated in a distributed Brillouin sensor under different signal-to noise ratios and realistic spectral scenarios. Results verify that a sixth-order polynomial fitting can provide a reliable initial estimation of the dual local BFS values, which can be subsequently used as initial parameters of a nonlinear double-Gaussian fitting. The method demonstrates a 4.9-fold reduction in the number of iterations required by double-Gaussian fitting and a 3.4-fold improvement in processing time.
提出了一种高阶多项式拟合方法，以加速在呈现两个局部布里渊峰的光纤中布里渊频移（BFS）反演时的双高斯拟合计算。该方法在不同信噪比和实际光谱场景下的分布式布里渊传感器中进行了实验验证。结果表明，六阶多项式拟合可以提供双局部BFS值的可靠初始估计，随后可将其用作非线性双高斯拟合的初始参数。该方法表明，双高斯拟合所需的迭代次数减少了4.9倍，处理时间提高了3.4倍。
