A constrained least square and trimmed least square method for multisensor data fusion


Though neural data fusion algorithms based on a linearly constrained least square (LCLS) method solve the ill-conditioned and singular matrix problems that arise in the LCLS method, they don't perform well when there are impulsive noises attached to several sensors. In this paper, a data fusion algorithm based on a constrained least squares (LS) and trimmed… (More)


2 Figures and Tables