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Maritime Surveillance Using Multiple High-Frequency Surface-Wave Radars

机译:使用多个高频表面波雷达的海上监视

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In the last decades, great interest has been directed toward low-power high-frequency (HF) surface-wave radars as long-range early warning tools in maritime-situational-awareness applications. These sensors, developed for ocean remote sensing, provide an additional source of information for ship detection and tracking, by virtue of their over-the-horizon coverage capability and continuous-time mode of operation. Unfortunately, they exhibit many shortcomings that need to be taken into account, such as poor range and azimuth resolution, high nonlinearity, and significant presence of clutter. In this paper, radar detection, multitarget tracking, and data fusion (DF) techniques are applied to experimental data collected during an HF-radar experiment, which took place between May and December 2009 on the Ligurian coast of the Mediterranean Sea. The system performance is defined in terms of time on target (ToT), false alarm rate (FAR), track fragmentation, and accuracy. A full statistical characterization is provided using one month of data. The effectiveness of the tracking and DF procedures is shown in comparison to the radar detection algorithm. In particular, the detector's FAR is reduced by one order of magnitude. Improvements, using the DF of the two radars, are also reported in terms of ToT as well as accuracy.
机译:在过去的几十年中,作为海上情境感知应用中的远程预警工具的低功率高频(HF)表面波雷达引起了极大的兴趣。这些为海洋遥感而开发的传感器,凭借其超视距覆盖能力和连续运行模式,为船舶检测和跟踪提供了额外的信息来源。不幸的是,它们表现出许多需要考虑的缺点,例如较差的距离和方位分辨率,较高的非线性度以及明显的杂波。本文将雷达检测,多目标跟踪和数据融合(DF)技术应用于在HF雷达实验中收集的实验数据,该实验是在2009年5月至12月之间在地中海利古里亚海岸进行的。系统性能是根据目标时间(ToT),误报率(FAR),磁道碎片和准确性来定义的。使用一个月的数据即可提供完整的统计特征。与雷达检测算法相比,显示了跟踪和DF程序的有效性。特别是,检测器的FAR降低了一个数量级。还报告了使用两个雷达的DF的改进,无论是在ToT还是准确性方面。

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