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.
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- Date: 08 Apr 2021
- Time: 07:00 AM to 08:30 AM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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- Endicott, New York
- United States
- Starts 01 April 2021 09:53 AM
- Ends 07 April 2021 09:53 AM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- No Admission Charge