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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Tracking targets with multiple measurements per scan
 Institute of Electrical and Electronics Engineers IEEE; International Society of Information Fusion ISIF: FUSION 2014, 17th International Conference on Information Fusion : 7 10 July 2014, Salamanca, Spain Piscataway, NJ: IEEE, 2014 ISBN: 9781479916344 ISBN: 9788490123553 8 S. 
 International Conference on Information Fusion (FUSION) <17, 2014, Salamanca> 

 Englisch 
 Konferenzbeitrag 
 Fraunhofer FKIE 
Abstract
The task of tracking targets, that generate more than one measurement per scan appears in several applications such as extended object and group tracking. There, the target (or group) extend implies that muliple measurements, drawn according to a spatial probability distribution, are measured per sensorscan. However, applications exist where targets generate several measurements per sensorscan, which are not geometrically correlated according to a distribution in the measurement space. An example for such an application is Blind Mobile Localization, which is the passive noncooperative localization and tracking of mobile terminals in urban scenarios. In this paper a Probability Hypothesis Density filter for general models of targetgenerated measurements is applied to track targets with multiple measurements per scan, where the measurements do not necessarily have to be spatially related in the measurement space. Furthermore, the problem of numerical feasibility is identified and two ways of approximating the update equation of the generalized Probability Hypothesis Density filter are proposed. Finally, a sequential Monte Carloimplementation of the generalized Probability Hypothesis Density filter with a Poisson clutter model is used for a numerical evaluation.