摘要
光纤布拉格光栅(FBG)传感信号中存在的噪声严重影响了其中心波长的检测精度,因此必须进行去噪处理。本文针对传统的小波软、硬阈值函数去噪的不足,提出了一种改进的对数阈值函数,并确定了最优的小波基和分解尺度。仿真表明,本文提出的改进阈值函数去噪后信噪比(SNR)较大,均方根误差(RMSE)较小,其中信噪比比传统的软、硬阈值方法提高了1.5 d B^4 d B。最后通过实验验证了本文方法的去噪效果。
Noise in the fiber Bragg grating（ FBG） sensing has seriously affected the detection precision of the center wavelength,and it should be processed to reduce noises. A modified logarithmic threshold method is adopted,and the reasonable wavelet basis and decomposition level are determined by analyzing the disadvantages of traditional soft and hard wavelet threshold de-noising methods. The simulation results show that the improved method can obtain the maximum signal-to-noise ratio（ SNR） and the minimum root mean square error（ RMSE）,and the SNR improves 1.5 to 4 d B than traditional methods. The de-noising effect of this method is proved by experiments.
出处
《传感技术学报》
CAS
CSCD
北大核心
2015年第4期521-525,共5页
Chinese Journal of Sensors and Actuators
基金
陕西省自然科学基金项目(2014JM7273)
关键词
光纤光栅
去噪
小波
阈值函数
信噪比
fiber Bragg grating
de-noising
wavelet
threshold function
signal-to-noise ratio
