利用多雷达系统实现多船跟踪算法

S. Byun, Han-jin Lee, H. Yoon, D. Gong, Chang-Min Lee, C. Kang
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引用次数: 5

摘要

为了防止海上人员伤亡,船用雷达被广泛用于跟踪近岸船舶,通常采用多台船用雷达覆盖较宽的沿海区域。因此,它们的协同作业对有效的船舶交通管制至关重要。本文介绍了一种可用于此目的的多船、多雷达跟踪算法的实现。所实现的算法是基于传感器级跟踪的集中式航迹文件架构,该架构在每个局部雷达站点维护一个传感器级(局部)航迹文件,并利用传感器级航迹的相互关联将它们整合成一个中心级(全局)航迹文件。每个局部雷达站的传感器级跟踪采用传统的全球最近邻(GNN)方法,该方法使用拍卖算法进行数据关联。在每个雷达站点形成的传感器级航迹被传输到数据融合中心,并通过航迹到航迹融合算法进行组合,得到中心级航迹。由此产生的中央航迹也与时间相关,以便为每艘目标船只提供连续的航迹文件,即使它穿过不同雷达扫描区域的边界。为了验证该算法,进行了仿真,结果表明该算法运行正常。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of multi-vessel tracking algorithm using multiple marine radar systems
To prevent marine casualties, marine radars are widely used for tracking vessels near coast and, in general, multiple marine radars are applied to cover wide coastal area. Therefore their cooperative operation is very important for effective vessel traffic control. This work introduces implementation of a multivessel, multiradar tracking algorithm which can be used for such purpose. The implemented algorithm is based on the sensor-level tracking with centralized track file architecture which maintains a sensor-level (local) track file at each local radar site and integrate them into one central-level (global) track file using cross-correlation of the sensor-level tracks. The sensor-level tracking at each local radar site employs the conventional global nearest neighbor (GNN) approach which uses the auction algorithm for data association. The sensor-level tracks formed at each radar site are transmitted to data fusion center and combined by a track-to-track fusion algorithm to give central-level tracks. The resulting central-level tracks are also correlated against time to give a continuous track file for each target vessel even though it goes through the border of different radar's scan area. To validate the algorithm, a simulation was fulfilled and it showed that it operated properly as intended.
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