Research on a wavelength demodulation algorithm in smart clothes based on FBG

Huichao Song; Changyun Miao; Cheng Zhang; Hongquiang Li; Fanjie Xu

doi:10.1117/12.834902

24 August 2009 Research on a wavelength demodulation algorithm in smart clothes based on FBG

Huichao Song, Changyun Miao, Cheng Zhang, Hongquiang Li, Fanjie Xu

Proceedings Volume 7381, International Symposium on Photoelectronic Detection and Imaging 2009: Material and Device Technology for Sensors; 73810J (2009) https://doi.org/10.1117/12.834902
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

A wavelength demodulation algorithm in smart clothes for detecting human body temperature is proposed based on the fiber Bragg grating (FBG) sensor interrogation technology. The driven voltage corresponding to peak wavelength of reference spectrum can be calculated by the method of windowing to FBG reflected wave and weighted averaging to the data. The characteristic conic of F-P filter is attained by the least square fitting. Experimental result shows that the algorithm can solve the problem of low detecting precision due to the low resolution of scanning voltage. The correlative linearity of temperature and driven voltage of F-P is 0.998, and a resolution of 0.2^oC temperature can be obtained.

Citation Download Citation

Huichao Song, Changyun Miao, Cheng Zhang, Hongquiang Li, and Fanjie Xu "Research on a wavelength demodulation algorithm in smart clothes based on FBG", Proc. SPIE 7381, International Symposium on Photoelectronic Detection and Imaging 2009: Material and Device Technology for Sensors, 73810J (24 August 2009); https://doi.org/10.1117/12.834902

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