Accelerating Particle Filter on FPGA
B.G. Sileshi, Joan Oliver, Carles Ferrer · 2016
Particle filters (PFs) are Bayesian based estimation algorithms with attractive theoretical properties for addressingwide range of complex applications that are nonlinear and nonGaussian. However, they are associated with a huge computational demand which limited their application in most realtime systems. To address such a drawback in PFs, this paper presents different approaches for PFs acceleration based on afield programmable gate arrays (FPGAs).