On Tracking Closely-Spaced Targets in a PARAFAC-Representation of the Fermionic Wave Function Formulation

Joshua Gehlen, F. Govaers, W. Koch
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Abstract

Closely spaced multi target tracking remains a challenging problem in state estimation and data fusion. A recent formulation of the problem using antisymmetric square roots of density functions, which may be interpreted as multi target wave functions, has proposed a separation of densities by means of the resulting "Pauli-Notch". In this paper, this formulation is extended for non-Gaussian posterior densities, which are given in discretized and Candecomp-/Parafac decomposed form. Such densities can be predicted by a numerical solution of the Fokker-Planck-Equation. A modified operator for the respective wave function is presented together with the Bayes recursion in order to solve state estimation based on antisymmetric wave functions.
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费米子波函数公式的parafac中近间隔目标跟踪
近间隔多目标跟踪在状态估计和数据融合方面一直是一个具有挑战性的问题。最近使用密度函数的反对称平方根的问题的表述,可以解释为多目标波函数,提出了通过由此产生的“保利- notch”来分离密度。本文将此公式推广到非高斯后验密度的离散化和Candecomp-/Parafac分解形式。这样的密度可以通过福克-普朗克方程的数值解来预测。为了解决基于反对称波函数的状态估计问题,提出了相应波函数的修正算子和贝叶斯递归算子。
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