Effects of Noise Location on the Uncertainty Propagation in Fiber Optic Shape Sensing

The study of uncertainty propagation is crucial in fiber optic shape sensing. Measurement noise affects the performance of the reconstructed shape. Through a Monte Carlo simulation we demonstrate that the noise location has a significant effect on the accuracy of the reconstructed shape. The results suggest that noise injected at the beginning of the curve has a more detrimental effect compared to the same amount of noise injected in the last section of the curve.