Demodulation of Fiber-Optic Chirped Fiber Bragg Grating Sensors for Thermal Pattern Detection

Abstract

This report focuses on development of demodulation software for ultra-dense distributed chirped fiber Bragg grating optical sensors, which measure temperature and strain with 75 micron resolution over 1.5 cm for advanced medical applications. Initially, addressed problem is stated, thermal ablation technology is discussed, and basic background of optics is considered. Next, old and new reconstruction algorithms are reviewed in detail. It follows with discussion of MATLAB code to LabVIEW environment transition. Real spectrum measurements, which are used for verification of proposed reconstruction, were obtained during experiments conducted under supervision of Professor Daniele Tosi. The obtained data is used as software inputs to obtain thermal distribution. Moreover, significance and opportunities of temperature prediction for the proposed technology is discussed. Finally, the results of prediction based on linear regression model are analyzed and further improvements of technology are proposed.