A Particle Filtering Approach to Joint Passive Radar Tracking and Target Classification
Shawn M. Herman · 2002
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 flight model that requires aircraft-specific coefficients such as the wing area, minimum drag, and vehicle mass. Of course, these coefficients are provided to our tracker by our classifier.