Feature-assisted multistatic tracking using the PACsim data set

Target tracking has traditionally focussed on the use of kinematic information such as bearing, range, position, or speed. In some cases it is possible to extract additional target information that may be useful in the maintenance of reliable tracks or the establishment of target type or identity. Several methods have been proposed for the use of feature information in target tracking. In this paper we discuss and evaluate featureassisted tracking using a feature component in the cumulative likelihood ratio used for track initiation and maintenance in a multihypothesis (MHT) tracker. The data set used in the evaluation, PACsim, was specifically developed to investigate the use and value of feature information in multistatic tracking and has been the subject of collaborative analysis by the Multistatic Tracking Working Group (MSTWG).