In target motion analysis (TMA) based on bearings-only (BO), various approaches have been proposed to handle uncertain measurements under clutters. As a good method, S-D assignment is applied to TMA for filtering clutters as well as assigning measurem...
In target motion analysis (TMA) based on bearings-only (BO), various approaches have been proposed to handle uncertain measurements under clutters. As a good method, S-D assignment is applied to TMA for filtering clutters as well as assigning measurements to targets. In this paper, we propose a novel tracking algorithm that every sensor maintains its state vector of bearings for a target, in order to prevent S-D assignment from deleting the state vector for the target when the target is not detected for a short time. Through simulations, we show the improvement over a conventional scheme under the failure in detecting a target.