摘要
We present a filtering algorithm based on empirical mode decomposition (EMD) for the data demodulation of the fiber-optic surface plasmon resonance (SPR) sensor. After data preprocessing by the EMD-based filtering algorithm, three methods are compared to obtain the valley wavelength of the SPR. The results show that by using the Gaussian-fitting method, the smallest standard deviation is obtained. Based on the proposed algorithm, the related temperature sensor based on fiber-optic SPR gets the sensitivity of 335.7 pm/degrees C at 20 degrees C and 626.9 pm/degrees C at 99 degrees C, resulting in temperature resolutions of 0.06 degrees C at 20 degrees C and 0.03 degrees C at 99 degrees C via the spectrometer resolution of 20 pm.
- 出版日期2016-6
- 单位天津大学