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Theoretical Foundation for the Stein-Winter 'Probability Hypothesis Density (PHD)' Multitarget Tracking Approach.

机译：stein-Winter'概率假设密度（pHD）'多目标跟踪方法的理论基础。

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摘要

In several unpublished manuscripts written from 1993 to 1995, Michael Stein, C.L. Winter, and Robert Tenney introduced a multitarget tracking and evidential-accumulation concept called a 'Probability Hypothesis Surface' (PHS). A PHS is the graph of a probability distribution-the Probability Hypothesis Density (PHD)-that, when integrated over a region in target state space, gives the expected number of targets in that region. The PHD is uniquely defined by this property: Any other density function that satisfies it must be the PHD.

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Mahler, R. P.;
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年度 2000
页码 1-21
总页数 21
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Meetings; Multiple targets; Tracking; Density; Methodology; Computations; Graphs; Probability; Data fusion; Hypotheses; Multiple operation; Normal density functions; Phd(Probablility hypothesis density);

机译：会议;多个目标;跟踪;密度;方法;计算;图形;概率;数据融合;假设;多重操作;正常密度函数;博士（probablility假设密度）;

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3. A measurement-driven adaptive probability hypothesis density filter for multitarget tracking [J] . Si Weijian, Wang Liwei, Qu Zhiyu 中国航空学报（英文版） . 2015,第006期

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5. Probability hypothesis densities for multitarget, multisensor tracking with application to passive radar. [D] . Tobias, Martin. 2006

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6. Adaptive Collaborative Gaussian Mixture Probability Hypothesis Density Filter for Multi-Target Tracking [O] . Feng Yang, Yongqi Wang, Hao Chen, 2016

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7. Gaussian mixture probability hypothesis density filter for multipath multitarget tracking in over-the-horizon radar [O] . Yong Qin, Hong Ma, Jinfeng Chen, 2015

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Theoretical Foundation for the Stein-Winter 'Probability Hypothesis Density (PHD)' Multitarget Tracking Approach.

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