Infrared Fast-Maneuvering Target Tracking Based on Robust Exact Differentiator with Improved Particle Filter

This paper deals with the problem of nonlinear uncertainties when tracking an infrared dim small target fast maneuvers. The particle filter (PF)-based methods are mostly considered. existing improvement for PF can handle conventional maneuver, motion state which changes slowly and in most cases is assumed to be linear. However, maneuvers appear on target, PF-based method will soon suffer from degeneracy, or even loss target. In this paper, a robust exact differentiator (RED)-based generating proposed improve PF. New birth particles produced by method, keep up maneuvers, ensure diversity PF, so as avoid degeneracy depletion, meanwhile number required decreased. Numerical simulations conducted, showing that algorithm has more advantages than state-of-the-art method.