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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Sequential Quantum MonteCarlo for Tracking of Indistinguishable Targets
 Institute of Electrical and Electronics Engineers IEEE; IEEE Aerospace and Electronics Systems Society: Symposium on Sensor Data Fusion: Trends, Solutions, Applications, SDF 2018 : Bonn, Germany, October 911, 2018 Piscataway, NJ: IEEE, 2018 ISBN: 9781538693988 ISBN: 9781538693971 ISBN: 9781538693995 pp.9399 
 Symposium on Sensor Data Fusion  Trends, Solutions, Applications (SDF) <12, 2018, Bonn> 

 English 
 Conference Paper 
 Fraunhofer FKIE () 
Abstract
For indistinguishable targets, the probability density function is symmetric under exchange of the target labels and can be formulated as the square of a symmetric or antisymmetric realvalued wave function. [1] Antisymmetry implicitly describes objects that cannot share the same physical state at the same timea property macroscopic real world objects possess. Based on the approach in [1], we develop a sequential Monte Carlo method that propagates and updates the antisymmetric wave function. Antisymmetry is maintained using an approximation in the time update step. The algorithm is closely related to Quantum Monte Carlo methods applied in nuclear and condensed matter physics. Preliminary results for a simple twotarget scenarios are presented and limitations and possible further developments are discussed.