Zhang Baolin, Tong Xinglin, Hu Pan, Guo Qian, Zheng Zhiyuan, Zhou Chaoran
Opt Express. 2016 Dec 26;24(26):29506-29511. doi: 10.1364/OE.24.029506.
Optical fiber Fabry-Perot (F-P) sensors have been used in various on-line monitoring of physical parameters such as acoustics, temperature and pressure. In this paper, a wavelet phase extracting demodulation algorithm for optical fiber F-P sensing is first proposed. In application of this demodulation algorithm, search range of scale factor is determined by estimated cavity length which is obtained by fast Fourier transform (FFT) algorithm. Phase information of each point on the optical interference spectrum can be directly extracted through the continuous complex wavelet transform without de-noising. And the cavity length of the optical fiber F-P sensor is calculated by the slope of fitting curve of the phase. Theorical analysis and experiment results show that this algorithm can greatly reduce the amount of computation and improve demodulation speed and accuracy.
光纤法布里-珀罗(F-P)传感器已被用于各种物理参数的在线监测,如声学、温度和压力。本文首次提出了一种用于光纤F-P传感的小波相位提取解调算法。在该解调算法的应用中,比例因子的搜索范围由通过快速傅里叶变换(FFT)算法获得的估计腔长确定。通过连续复小波变换可直接提取光学干涉谱上各点的相位信息,无需去噪。然后通过相位拟合曲线的斜率计算光纤F-P传感器的腔长。理论分析和实验结果表明,该算法可大大减少计算量,提高解调速度和精度。