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Looking behind a corner using multipath-exploiting UWB radar

机译:使用多路径的UWB雷达在角落后面看

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Localization of persons that are hidden behind a corner is important in various security situations when the first responders should not be exposed to any threat. This article demonstrates the feasibility of an ultrawideband multipath-exploitation radar for localization in such scenarios. The approach utilizes multibounce echoes of electromagnetic waves that are scattered by the closest person situated behind a corner. We assume that the person does not carry any tag and does not cooperate with the localization system. The multibounce echoes are reflected and diffracted by the surroundings and make the hidden person visible to an operator that is behind the corner. The location estimation relies only on single-channel time-of-arrival data. Measured data are first processed by a background subtraction algorithm, which reveals the multipath evoked by the person. The multipath echoes are detected by a parallel threshold-based detector. A simple global nearest-neighbor algorithm is used for tracking detected echoes and improving their range estimates. The obtained range estimates are assigned to different physical propagation paths of the electromagnetic waves. The location of the person is estimated by fusing the information of the antenna location with respect to its surroundings and the assigned range estimates. The proposed approach is experimentally verified in a scenario where data are measured in real time by an ultrawideband sensor. Experimental results demonstrate that, depending on the scenario geometry, a walking or calmly standing person can be localized up to several meters behind the corner.
机译:在各种安全情况下,当第一响应者不应该受到任何威胁时,隐藏在角落里的人员的定位很重要。本文演示了在这种情况下用于定位的超宽带多径开发雷达的可行性。该方法利用了电磁波的多次反射回波,该电磁波被位于拐角后面的最近的人散射。我们假设此人不携带任何标签,也不与本地化系统合作。多反射回波被周围环境反射和衍射,使隐藏的人对角落后面的操作员可见。位置估计仅依赖于单通道到达时间数据。首先通过背景减法算法处理测量的数据,该算法揭示了人引起的多径。多路径回声由基于并行阈值的检测器检测。一个简单的全局最近邻居算法用于跟踪检测到的回声并改善其范围估计。将获得的范围估计值分配给电磁波的不同物理传播路径。通过融合相对于周围环境的天线位置信息和分配的距离估算值来估算人员的位置。在通过超宽带传感器实时测量数据的情况下,对提出的方法进行了实验验证。实验结果表明,根据场景的几何形状,可以将步行或平稳站立的人定位在拐角处几米远的地方。

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