Quantum-behaved particle swarm optimization algorithm for the reconstruction of fiber Bragg grating sensor strain profiles

A quantum-behaved particle swarm optimization algorithm used for demodulating the strain profile along a fiber Bragg grating (FBG) from its reflection spectrum has been demonstrated. By combining the transfer matrix method for calculating the reflection spectrum of a FBG and the quantum-behaved particle swarm optimization technique, we develop a new technique for the reconstruction of FBG sensor strain profiles. This proposed technique is verified through numerical example reconstructions of FBG sensor simulated strain profile cases and numerical simulations reveal good agreement between the original and the reconstructed strain profiles.