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

机译:通过检测提示减少分布式多基地声纳系统中的虚警率

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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都存在大量的虚假警报,因此有效地融合和跟踪多静态有源声纳接触具有挑战性。利用由镜面几何条件生成的高强度检测的发生,可以使用提示方法来有选择地提取存储在本地声纳节点上的其他数据。这种方法可以显着降低融合/跟踪算法输入处的虚警率,并降低节点到融合中心的通信链路吞吐量需求。本文描述了这一概念,并给出了一种在有检测提示的情况下确定数据查找“片段”的方法。对于模拟多静态声纳场景,对该提示概念进行了评估。结果表明,有可能显着降低跟踪器输入的误报率,在某些情况下可降低多达三个数量级。

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