Analysis of shape sensing accuracy employing distributed fiber sensing

This work presents an analysis of the impact of noise spatial distribution shape reconstruction accuracy employing Monte-Carlo simulations. The findings reveal how noise introduced at the initial segments of the curve negatively affects the reconstructed shape accuracy more than an equivalent amount of noise applied towards the curve end, providing a quantitative estimate for achievable accuracy.