Particle Filtering of Radar Signals for Non-Cooperating Target Imaging

摘要: This paper describes the application of optimal nonlinear/non-Gaussian filtering theory to radar signal processing problem. approach, made feasible by a new technique named Particle Filtering, may cope with nonlinear models as well non- Gaussian dynamic and observation noises. The Filter constructs conditional probability state variables, respect measurements, through random exploration space particles, which obey generator. this filter inverse synthetic aperture (ISAR) allows joint estimation path image maneuvering target in weak noise ratio situations.