Control of unmanned aerial vehicles for passive detection and tracking of multiple emitters
Peter W. Sarunic, Robin J. Evans, Bill Moran · 2009
An algorithm for trajectory optimization of autonomous aerial vehicles performing multiple target tracking is proposed. The problem is approached by formulating it as a partially observed Markov decision process (POMDP) and developing a moving-horizon solution taking into account short and long term costs. To evaluate the effectiveness of the approach a simulation involving multiple UAVs and targets is performed.