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Particle filtering approach to multistatic underwater sensor networks with left-right ambiguity

机译:具有左右歧义的多静态水下传感器网络的粒子滤波方法

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This paper develops a data fusion strategy for the bistatic source-target-receiver geometry with left/right ambiguity via particle filtering. The ambiguous contacts, as opposed to false alarms, are coherent in time in the sense that a tracker would generate two tracks: The true one and the ghost one. The problem is complicated by the presence of missed detections of the target and false alarms.
机译:本文通过粒子滤波为左右歧义的双基地源-目标-接收者几何开发了一种数据融合策略。与虚假警报相反,模糊的联系在时间上是连贯的,在某种意义上,跟踪器将生成两条轨道:真实的一条和幽灵的一条。由于错过了目标检测和错误警报的存在,问题变得更加复杂。

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