Joint target tracking and classification with particle filtering and mixture Kalman filtering using kinematic radar information

This paper considers the problem of joint maneuvering target tracking and classification. Based on recently proposed Monte Carlo techniques, a multiple model (MM) particle filter and a mixture Kalman filter (MKF) are designed for two-class identification of air targets: commercial and military aircraft. The classification task is carried out by processing radar measurements only, no class (feat...

متن کامل

A Particle Filtering Approach to Joint Passive Radar Tracking and Target Classification

In this thesis, we present a recursive Bayesian solution to the problem of joint tracking and classification for ground-based air surveillance. In our system, we specifically allow for complications due to multiple targets, false alarms, and missed detections. Most importantly, though, we utilize the full benefit of a joint approach by implementing our tracker using an aerodynamically valid fli...

متن کامل

A Particle Filtering Approach to Joint Passive Radar Tracking and Target Classification by Shawn

In this thesis, we present a recursive Bayesian solution to the problem of joint tracking and classification for ground-based air surveillance. In our system, we specifically allow for complications due to multiple targets, false alarms, and missed detections. Most importantly, though, we utilize the full benefit of a joint approach by implementing our tracker using an aerodynamically valid fli...

متن کامل

Extended Object Tracking Using Mixture Kalman Filtering

This paper addresses the problem of tracking extended objects. Examples of extended objects are ships and a convoy of vehicles. Such kind of objects have particularities which pose challenges in front of methods considering the extended object as a single point. Measurements of the object extent can be used for estimating size parameters of the object, whose shape is modeled by an ellipse. This...

متن کامل

Sequential Monte Carlo Algorithms for Joint Target Tracking and Classification Using Kinematic Radar Information

This paper considers the problem of joint maneuvering target tracking and classification. Based on recently proposed Monte Carlo techniques, a multiple model (MM) particle filter and a mixture Kalman filter (MKF) are designed for two-class identification of air targets: commercial and military aircraft. The classification task is carried out by processing radar measurements only, no class (feat...

متن کامل

Joint target tracking and classification with particle filtering and mixture Kalman filtering using kinematic radar information

نویسندگان

چکیده

منابع مشابه