Tracking airborne targets occasionally hidden in the blind Doppler
Neil J. Gordon, Branko Ristić · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
This paper describes an application of sequential Monte Carlo estimation (particle filtering) to the problem of tracking targets occasionally hidden in the blind Doppler zones of a radar. A particle filter which incorporates the prior knowledge of the blind Doppler zone limits has been designed. The simulation results suggest significant improvement in track continuity over the standard Extended Kalman filter. As an operationally viable solution a hybrid tracker is envisaged which can switch between the EKF (with possible built-in data association logic) and the particle filter, depending on the tracking conditions.