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Reduction of False Alarm Rate in Distributed Multistatic Sonar Systems through Detection Cueing

机译:通过检测提示降低分布式多晶路系统中的误报率

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The effective fusion and tracking of multistatic active sonar contacts is challenging, due to high levels of false alarm clutter present on all sonar nodes. Utilizing the occurrence of high strength detections generated by the specular geometric condition, a cueing approach can be used to selectively extract further data which is stored locally on the individual sonar nodes. This approach can significantly reduce the false alarm rate at the input to the fusion/tracking algorithm, and reduce node-to-fusion-center communication link throughput requirements. This paper describes this concept and derives a method for determining the data lookup "snippets", given a detection cue. An evaluation of this cueing concept is made for a simulated multistatic sonar scenario. The results show the potential to significantly reduce the tracker input false alarm rate, in some cases by as much as three orders of magnitude.
机译:由于所有声纳节点上存在的高水平的误报杂波,多晶的活动声纳触点的有效融合和跟踪是具有挑战性的。利用由镜面几何条件产生的高强度检测的发生,可以使用提示方法来选择性地提取在各个声纳节点上本地存储的其他数据。这种方法可以显着降低输入到融合/跟踪算法的输入处的误报率,并降低节点到融合中心通信链路吞吐量要求。本文介绍了该概念,并源于给定检测提示的数据查找“片段”的方法。对这种提示概念的评估是针对模拟多静态声纳场景进行的。结果表明,在某些情况下,潜力可以显着降低跟踪器输入误报率,在某些情况下大大。

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