基于径向基函数网络的FBG传感光谱的重构

针对光纤Bragg光栅(FBG)解调系统中由于传感器部分脱粘、数据采集的量化误差引起的系统性能的非理想性,FBG反射回的光谱会发生失真。如果直接利用峰值检测法进行波长检测,存在较大的检测误差。于是便提出了用径向基函数网络(RBFN)拟合光纤光栅反射后的失真光谱的方法,此法与峰值检测法、高斯曲线拟合法相比,能够更大程度地减小波长检测的误差,提高解调的精度,并且,能够对多个光栅光谱进行重构。

Reconstruction of FBG spectrum based on radial basis function network

The implementation of a radial basis function network to reconstruct the distorted spectrum reflected by a FBG sensor is reported. The non-ideal system performance caused by debonding of part of the sensor and the quantization errors might also cause a distortion in the reflected spectrum. In this case , if using conventional peak detection methods directly, there will be a big wavelength detection error. The error can be reduced, the demodulation precision can be improved and the multiple spectrum can be reconstructed using the RBFN, compared with using other wavelength detection methods, such as conventional peak detection, Gaussian fit.