Fast sequential Monte Carlo PHD smoothing
Fast sequential Monte Carlo PHD smoothing
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发表时间：
2011-07
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通讯作者：
S. Nagappa;Daniel E. Clark
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作者：
S. Nagappa;Daniel E. Clark
本文提出了一种通过使用跟踪粒子随时间演化的增强状态空间标签来实现易处理粒子 PHD 平滑的方法。标签的使用将目标数量的前向-后向粒子平滑器从二次复杂度降低到线性复杂度，从而允许在大量目标以及存在中度和高度杂波的情况下进行平滑。
This paper proposes a means to achieve tractable particle PHD smoothing through the use of an augmented state space label which tracks the evolution of particles over time. The use of the label reduces the forward-backward particle smoother from quadratic to linear complexity in the number of targets allowing smoothing to be carried out on a large number of targets as well as in the presence of moderate and high levels of clutter.