Multiple Target Tracking With a 2-D Radar Using the JPDAF Algorithm and Combined Motion Model

Multiple target tracking (mtt) is taken into account as one of the most important topics in trackingtargets with radars. in this paper, the mtt problem is used for estimating the position of multiple targetswhen a 2-d radar is employed to gather measurements. to do so, the joint probabilistic data associationfilter (jpdaf) approach is applied to tracking the position of multiple targets. to characterize the motion ofeach target, two models are used. first, a simple near constant velocity model is considered and then toenhance the tracking performance, specially, when targets make maneuvering movements a variable velocitymodel is proposed. in addition, a combined model is also proposed to mitigate the maneuvering movementsbetter. this new model gives an advantage to explore the movement of the maneuvering objects which iscommon in many tracking problems. simulation results show the superiority of the new motion model andits effect in the tracking performance of multiple targets.