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Detecting Small Slow-moving Sonar Targets Using Bottom Reverberation Coherence

机译:使用底部混响一致性检测小型缓慢移动声纳目标

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The detection of small targets that appear suddenly or are moving slowly in strong bottom reverberation is a challenging problem for sonar surveillance in shallow water. Based on a new reverberation model, this paper proposes a target detection scheme that provides target sub-clutter visibility in the presence of reverberation. Experimental evidence shows that the bottom reverberation as seen by a stationary sonar is coherent, or at least partially coherent from ping to ping. Therefore, the bottom reverberation from a particular range cell is modeled as a complex signal composed of a stationary or slowly varying coherent component, plus a rapidly varying diffuse component. The coherent component is easily estimated using a recursive mean estimator and then removed by a simple subtraction so that the target need only compete with the diffuse component. Experimental results show a detection gain, as measured by the coherent-to-diffuse ratio, as high as 30dB.
机译:在强大的底部混响中突然出现或缓慢移动的小目标的检测是浅水中声纳监视的具有挑战性问题。基于一个新的混响模型,本文提出了一种目标检测方案,其在存在混响的情况下提供目标子杂波可视性。实验证据表明,静止声纳看到的底部混响是相干的,或者至少部分相干到ping到ping。因此,从特定范围电池的底部混响被建模为由固定或缓慢变化的相干部件组成的复杂信号,以及快速变化的漫射组分。使用递归平均估计器容易地估计相干分量,然后通过简单的减法除去,使得目标仅需要与漫反射组件竞争。实验结果表明,通过相干到漫射比率测量的检测增益,高达30dB。

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