The bearings-only tracking problem with angle-of-arrival (AoA) information received from unmanned aerial vehicle (UAV) is considered. The Kalman filter and joint integrated probabilistic data association filters (JIPDAF) are utilized for single or multiple targets tracking, respectively. An optimal UAV trajectory is constructed for both single and multiple target tracking scenarios. The special case of stationary radar stations localization is numerically simulated.
- aerial decoy
- electronic intelligence
- Kalman filter
- optimal trajectory
- unmanned aerial vehicle (UAV)