Data association in multitarget tracking with multisensor

One of the most important problem must be resolved in multitarget tracking with multisensor is the data association. It includes two folds: associating each observation of every sensor with each target, named scan association; associating-the track with track formed by different sensors, track association. There exist some difficulties in obtaining the models and in computing burden while tracking multitarget in a high density clutter environment. This paper presents an efficient method for tracking multitarget with multisensor, and the new method applied integer programming to associate the incoming measurements to established tracks. This paper assumes no new target appears and no target eliminates while the tracking goes on. Theory analysis and Monte Carlo simulations show the potential of this algorithm