首页> 外文会议>OCEANS 2016 MTS/IEEE Monterey >Inter-node distance estimation from ambient acoustic noise in mobile underwater sensor arrays
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Inter-node distance estimation from ambient acoustic noise in mobile underwater sensor arrays

机译:根据移动水下传感器阵列中的环境噪声估算节点间距离

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As the number of units in underwater sensor arrays grow, low-cost localization becomes increasingly important to maintain network scalability. Methods using ambient ocean noise are promising solutions because they do not require external infrastructure, nor expensive on-board sensors. Here we extend past work in stationary array element localization from correlations of ambient noise to a mobile sensor array [1]. After obtaining inter-node distance estimates using ambient noise correlations, these distances can be used to determine a relative localization of an array of mobile underwater sensor platforms without introducing any external infrastructure or on-board localization sensors. In this work we explore the effects of receiver mobility on inter-node distance estimation via correlations of ambient acoustic noise. Through analysis and simulation, we develop an exact solution along with a more tractable approximation to the peak amplitude of the Time-Domain Green's Function between the two mobile receivers, which provides an estimate of their spatial separation. Here we demonstrate that the mobile noise correlation amplitude at the time delay for a sound wave traveling from one receiver to the other can be modeled with the wideband ambiguity function of a single sound source. We then use this approximation to discuss selection of design parameters and their effects on the noise correlation function.
机译:随着水下传感器阵列中单元数量的增加,低成本定位对于保持网络可扩展性变得越来越重要。使用环境海洋噪声的方法是有前途的解决方案,因为它们不需要外部基础设施,也不需要昂贵的车载传感器。在这里,我们将固定阵列元素定位的过去工作从环境噪声的相关性扩展到移动传感器阵列[1]。在使用环境噪声相关性获得节点间距离估计之后,这些距离可以用于确定移动水下传感器平台阵列的相对定位,而无需引入任何外部基础设施或机载定位传感器。在这项工作中,我们通过环境声噪声的相关性探索了接收机移动性对节点间距离估计的影响。通过分析和仿真,我们为两个移动接收器之间的时域格林函数的峰值幅度开发了一个精确的解决方案,并提供了更易于处理的近似值,从而估算了它们的空间间隔。在这里,我们证明了声波从一个接收器传播到另一个接收器时在时间延迟处的移动噪声相关幅度可以用单个声源的宽带歧义函数建模。然后,我们使用这种近似来讨论设计参数的选择及其对噪声相关函数的影响。

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