布里渊背向散射光谱数据拟合算法设计与实现

Design and Implementation of Data Fitting Algorithm for Brillouin Back Scattered-light Spectrum Data

针对光纤某些点处布里渊背向散射光谱的测量数据出现多峰的情况,提出采用区间划分和基于最小二乘的非线性回归方法对采集到的布里渊背散光谱进行处理.该方法不仅可以拟合单峰布里渊背散光功率数据,而且可以自动识别多峰数据并分别对几个峰进行拟合,使得计算结果能更准确反应光纤沿线的应变情况.实验结果证实了算法的有效性和可行性.

Because of the adulteration or the existence of asymmetric stress in fiber,Brillouin back scatteredlight detected by the equipments was presented as multi-peaks. Thus,a new way to simulate the data of Brillouin back scattered-light power spectrum which is based on a method of area-dividing and the least squares nonlinear regression analysis was proposed. It can not only be used to simulate the single-peak Brillouin back scattered-light power spectrum,but also to identify and process data of multi-peak spectrum automatically. It has been proved to be effective and feasible by experiment.