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A new method of tracking group space object

机译:跟踪组空间对象的新方法

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摘要

It is imperative to efficiently track and catalogue the extensive dense group of space objects for space surveillance. As the main instrument for Low Earth Orbit space surveillance, ground-based radar systems are usually limited by their resolving power while tracking small, but very dense clusters of space debris. Thus, the information obtained regarding target detection and observation will be seriously compromised and overlapping, making the traditional multi-target tracking method inefficient. The traditional central group tracking can't get the information inside. Therefore, we conceived a new way to calculate the group center based on traditional group tracking model. By clustering the measurement in the echo gate of the group, the group center can be synthesized by the centers of clustering. The overall motion tendency is used to update the clustering within the group to obtain the distribution of the objects, and keep the tracking stable. Finally, the simulation of the tracking of group space objects is carried out to validate the efficiency of the proposed method.
机译:必须有效地跟踪和分类大量密集的空间物体以进行空间监视。作为低地球轨道空间监视的主要工具,地基雷达系统通常在跟踪小的但非常密集的空间碎片簇时,受其分辨力的限制。因此,获得的有关目标检测和观测的信息将受到严重损害和重叠,从而使传统的多目标跟踪方法效率低下。传统的中央群组跟踪无法获取内部信息。因此,我们构想了一种基于传统的群体追踪模型计算群体中心的新方法。通过在组的回波门中对测量结果进行聚类,可以通过聚类中心来合成组中心。整体运动趋势用于更新组内的聚类以获得对象的分布,并保持跟踪稳定。最后,对群空间物体的跟踪进行了仿真,以验证该方法的有效性。

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