Robust UWB Radar object recognition

R. Salman, T. Schultze, M. Janson, W. Wiesbeck, I. Willms
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引用次数: 5

Abstract

This paper focuses on an emergency situation in which a network of ultra-wide-band (UWB) sensor nodes mounted on moveable platforms is moving in a room for purposes of recognition of objects. The recognition is accomplished between 2D canonical objects, which are scanned by UWB radar and a set of reference objects with same size which were analyzed by a ray-tracing method. The object recognition task is performed on the basis of RCS (radar cross section) measurements leading to corresponding radar-gram data. Here the objects characteristic geometric features are examined by using polar Fourier descriptors which are extended in a way that also provides for multiple reflections.
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鲁棒超宽带雷达目标识别
本文主要研究了一种紧急情况,即安装在可移动平台上的超宽带(UWB)传感器节点网络在房间内移动以识别物体。通过超宽带雷达扫描的二维典型目标与一组相同尺寸的参考目标之间的识别,通过射线跟踪方法进行分析。目标识别任务是在RCS(雷达截面)测量的基础上进行的,从而得到相应的雷达图数据。在这里,物体的特征几何特征是通过使用极性傅里叶描述子来检查的,这些描述子以一种也提供多重反射的方式进行了扩展。
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