Sparse Force Mapping System Based on Compressive Sensing

This paper reports the development and application of a reconstruction method based on differential evolution (DE) to solve an underdetermined tactile sensing system with quasi-distributed fiber sensors. The reconstruction relies on the coupled responses from eight fiber Bragg grating-based transducers. The sensing system is capable of locating and quantifying up to three loads simultaneously applied to a metallic plate divided into 16 regions. The signal reconstruction is performed using compressive sensing methods to infer the spatial distribution of the applied forces. A comparison between the implemented method based on DE and traditional sparse signal recovery schemes (LASSO, OMP, Robust-SL0, and CoSaMP) showed the better performance of the proposed algorithm in the demonstrated application.