Accelerating Particle Filter on FPGA

Abstract

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).