Track-while-scan Radar using deterministic particle filtering

This paper describes the application of the optimal nonlinear/non-Gaussian filtering theory to the radar signal processing problem. Our approach, relies on maximum likelihood deterministic Particle Filtering [5] [7] [10]. This kind of Particle Filter constructs the absolute maximum of the conditional likelihood of the state variables trajectory, with respect to the measurements, through a deterministic resolution of Bellman´s forward equation by particles. The application of this new filter allows the estimation of the state variable of a maneuvering target in weak signal to noise ratio situations for track-while-scan radar.