Application of Wavelength Demodulation Algorithm on Calculating Body's Temperature in Smart Textile Based on Fiber Bragg Grating

Recently, the research on smart textile has become more and more prevalent. As for the current algorithm in detecting the temperature, the accuracy is not high enough. In order to solve this problem, a new algorithm, weighted wavelength demodulation, is proposed in this paper, which is based on the principle of fiber Bragg grating demodulation system. At last, a comparison of the error produced by the traditional algorithm, Gaussian fitting algorithm and the weighted wavelength demodulation algorithm is made, which shows that the new algorithm is more accurate than the others, even though the sampling points are much less than the others. Meanwhile, the new algorithm also reduces the computation greatly. This wavelength detection algorithm is suitable for embedded systems. The experiment results show that an accuracy of 5 pm wavelength demodulation and a resolution of 0.1degC temperature can be obtained when the sampling frequency of temperature is 1 Hz.