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A heterogeneous Markov chain model of target existence variable for Bayesian track-before-detect

机译:贝叶斯轨道前检测到目标存在变量的异构马尔可夫链模型

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摘要

A heterogeneous Markov chain (MC) model, instead of the homogeneous MC model, is proposed in this paper to describe target existence variable for Bayesian track-before-detect. The proposed model is more consistent with the transitions of target existence variable, which leads to the improvement of the performance of detection and tracking.
机译:在本文中提出了一种异质马尔可夫链(MC)模型而不是均相MC模型,以描述贝叶斯轨道的目标存在变量。所提出的模型与目标存在变量的转换更符合,这导致改善检测和跟踪性能。

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