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Tracking based on graph theory applied to pairs of plots

机译:基于图论的跟踪应用于成对绘图

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Multi platform, multi radar, multi air target tracking close to the coast is becoming increasingly complex because of: · The large number of data (radar plot) due to the environment and the number of sensors generate a combinatorial explosion of possible associations of plots for each track · The bias, errors positioning, sensors alignment, the data transmission delays between platforms, also strongly increase the possible number of false associations To manage the two constraints mentioned above, this paper introduces with a theoretical justification a new tracking filter based on graph theory using pairs of plots (GBPPT). The performances of this new tracking filter are illustrated on a real scenario in a difficult environment close to the coast.
机译:由于以下原因,靠近海岸的多平台,多雷达,多空中目标的跟踪变得越来越复杂,这是因为:•由于环境和传感器的数量而产生的大量数据(雷达图)产生了可能的图关联的组合爆炸式增长。每个轨迹·偏差,错误定位,传感器对齐,平台之间的数据传输延迟,也大大增加了错误关联的可能性。为了管理上述两个约束,本文从理论上介绍了一种新的基于图的跟踪滤波器理论使用成对绘图(GBPPT)。在靠近海岸的困难环境中的实际场景中说明了这种新的跟踪滤波器的性能。

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