The Role of Multitarget Tracking Radar in Surveillance Systems

The lecture will review the topics of “Stochastic filtering & association” and “Multisensor tracking”. The first topic will cover: Historical notes, Dynamic target models, Optimal Recursive Bayesian estimation, Kalman filter, Nonlinear filters (EKF, UKF, Particle filter), a case study: ballistic object tracking, and the Cramer-Rao lower bounds for nonlinear filtering. The second topic will review: Motivations of multisensor with illustration of system architectures, examples of multiradar integration for Vessel Traffic Management Systems and of radar & target motion analysis integration. Way ahead view will close the lecture.