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A Novel Method for Target Search and Recognition in an Intricate Environment with UWB through Wall Penetration RADAR

机译:UWB穿墙雷达在复杂环境下目标搜索与识别的新方法

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Ultra-Wide band technology has attracted many scientists and engineers to work on different fields like telecommunications, satellite communications, indoor security and networking, intrusion detection, vehicle collision avoidance and short range radar systems. In this paper we propose a novel method to search and recognize a predefined object across the wall in an intricate environment of room by using Ultra-Wide band through wall penetration radar system, which is designed in such a way that singular spectrum analysis (SSA) is firstly applied to smoothen the signals received by UWB radar with bandwidth between 1GHz and 2GHz and then analysis based on the fractional Fourier transform (FrFT) is performed for originally received and the smoothened signals in order to characterize the objects across the wall/hurdle. Finally simulation based results for SSA signal are compared with originally received signals and found more precise and accurate combined with FrFT for fractional analysis.
机译:超宽带技术吸引了许多科学家和工程师从事不同领域的工作,例如电信,卫星通信,室内安全和网络,入侵检测,车辆防撞和短程雷​​达系统。在本文中,我们提出了一种新颖的方法,该方法通过使用壁穿透雷达系统的超宽带来在复杂的房间环境中搜索和识别穿过墙壁的预定对象,该方法以奇异频谱分析(SSA)的方式设计首先将其用于平滑1GHz至2GHz带宽的UWB雷达接收的信号,然后对原始接收到的和平滑后的信号进行基于分数傅里叶变换(FrFT)的分析,以表征跨墙/障碍物的物体。最后,将基于SSA信号的基于仿真的结果与原始接收到的信号进行比较,发现与FrFT结合使用的结果更加精确,可以进行分数分析。

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