基于粒子群算法的FBG峰值波长检测技术

Wavelength Multiplexing Detection Technique for FBG Sensors Based on PSO

提出了一种新的光纤布拉格光栅(FBG)峰值波长检测技术,将改进粒子群算法(PSO)与峰值波长检测技术相结合,应用于在光纤光栅传感网络的波长检测,解决了传统波峰检测技术要求光纤光栅传感器带宽不能重叠和最小位移波形检测计算速度慢的问题。仿真计算结果证明,即使相邻两个FBG传感器的波峰相互叠加时,运用这种方法仍能取得较高的检测精度。

A new wavelength detection technology about fiber Bragg grating（FBG） sensors which is combined with particles swarm optimization（PSO） algorithm is reported. It can be used in wavelength multiplexing techniques（WMT） and solves the limitations of conventional peak detection（CPD） technique only used for sensors separated and the minimum variance shift waveform technique＇s slow calculation speed. The technique has been demonstrated to offer high detection accuracy even when the spectrum of the FBGs in partial overlap with that of neighboring FBGs within a wavelength division multiplexed sensor array.