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Target motion analysis and track association with a network of proximity sensors

机译:目标运动分析和与接近传感器网络的轨迹关联

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摘要

Target motion analysis and track association are the aims of this paper. It is assumed that the target trajectory is only partially observable by using temporal processing of a single sensor. Thus, original algorithms have been developed for fusing local estimates. Though suboptimal, such algorithms are feasible and close to optimality. Their performances have been theoretically investigated. Another problem is track-to-track association, the aim of which is to perform decision if the tracks estimated by two local subsystems are related to a single target or not and for which an original approach has been developed. This study is illustrated by a specific case study: the detection of a moving target by stationary electric sensors.
机译:目标运动分析和轨迹关联是本文的目的。假设通过使用单个传感器的时间处理只能部分观察目标轨迹。因此,已经开发了用于融合局部估计的原始算法。尽管次优,但是这种算法是可行的并且接近最优。从理论上研究了它们的性能。另一个问题是航迹之间的关联,其目的是执行由两个本地子系统估计的航迹是否与单个目标相关以及是否已经开发了原始方法的决策。一项特定的案例研究说明了这项研究:通过固定式电传感器检测运动目标。

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