Data Processing for Temperature Measurement Based on Fluorescent Fiber

It is critical to get the fluorescence lifetime exactly in temperature measurement based on fluorescence lifetime. However, the received signal of fluorescence decay after optoelectronic switching is often accompanied by random interference and DC offset, which affect the measurement effect violently. The processing theory and implementation of the integral ratio method, the least squares method, Fourier Transform method and L-M method are analyzed in this article. Theoretical and simulation data analysis show that, although L-M method has a better processing accuracy, it has the disadvantage of the computational complexity and long time-consuming. As a result, L-M method is usually used as comparison means. Although the integral ratio method and Fourier transform method are less sensitive to noise compared with the least squares method, their common feature is not influenced by DC component which decrease of the processing time greatly. In addition, the integral ratio method needs less memory and has the advantages of easy to process and achieve.