Microwave photonic FBG interrogation using the fixed array of addressed comb and artificial neural networks

Abstract A method for microwave photonics control of a fibre-optic Bragg grating (FBG) spectral position using a fixed array of addressed comb (FAAC) and artificial neural networks (ANNs) is presented. The model combines an analytical description of the FBG spectral response, using transmission matrix technique taking into account internal inhomogeneities and noise (thermal, mechanical) factors, as well as the implementation of an interrogation system using a FAAC structures. It is shown that the ANNs in microwave photonic approaches for the FBG central wavelength interrogation can significantly reduce measurement errors. The results obtained demonstrate the high accuracy and prospects of a combined approach for creating reliable optical sensor systems.