A Tractable Forward- Backward CPHD Smoother

A Tractable Forward- Backward CPHD Smoother
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DOI:
10.1109/taes.2017.2649978
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发表时间:
2017-02-01
影响因子:
4.4
通讯作者:
Houssineau, Jeremie
Houssineau, Jeremie
中科院分区:
计算机科学2区
文献类型:
--
作者:
Nagappa, Sharad;Delande, Emmanuel D.;Houssineau, Jeremie

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为了规避通常的Cardinalized概率假设密度(CPHD)平滑的棘手性,我们提出了一个近似的计划,人口出生的目标,直到和之后的平滑的开始时间分别估计和平滑仅适用于前人口的估计。该方法是通过实施一个易于处理的近似通常CPHD平滑。
To circumvent the intractability of the usual Cardinalized Probability Hypothesis Density (CPHD) smoother, we present an approximate scheme where the population of targets born until and after the starting time of the smoothing are estimated separately and where smoothing is only applied to the estimate of the former population. The approach is illustrated through the implementation of a tractable approximation of the usual CPHD smoother.