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首页> 外文期刊>IEICE Transactions on Communications >2-dimensional Imaging Of Human Bodies With Uwb Radar Using Approximately Uniform Walking Motion Along A Straight Line With The Seabed Algorithm
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2-dimensional Imaging Of Human Bodies With Uwb Radar Using Approximately Uniform Walking Motion Along A Straight Line With The Seabed Algorithm

机译:Uwb雷达对人体的二维成像,使用沿海床算法沿直线近似均匀的步行运动

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摘要

UWB (Ultra Wide-Band) pulse radar is a promising candidate for surveillance systems designed to prevent crimes and terror-related activities. The high-speed SEABED (Shape Estimation Algorithm based on BST and Extraction of Directly scattered waves) imaging algorithm, is used in the application of UWB pulse radar in fields that require realtime operations. The SEABED algorithm assumes that omni-directional antennas are scanned to observe the scattered electric field in each location. However, for surveillance systems, antenna scanning is impractical because it restricts the setting places of the devices. In this paper, movement of a body is used to replace antenna scanning. The instantaneous velocity of any given motion is an unknown variable that changes as a function of time. A pair of antennas is used to analyze delay time to estimate the unknown motion. We propose a new algorithm to estimate the shape of a human body using data obtained from a human body passing stationary antennas.
机译:UWB(超宽带)脉冲雷达是用于预防犯罪和恐怖活动的监视系统的有前途的候选者。高速SEABED(基于BST的形状估计算法和直接散射波的提取)成像算法,用于UWB脉冲雷达在需要实时操作的领域中的应用。 SEABED算法假定扫描全向天线以观察每个位置的散射电场。但是,对于监视系统,天线扫描是不切实际的,因为它限制了设备的放置位置。在本文中,人体的运动被用来代替天线扫描。任何给定运动的瞬时速度都是一个未知变量,其随时间变化。一对天线用于分析延迟时间以估计未知运动。我们提出了一种新算法,该算法使用从人体经过固定天线获得的数据来估算人体的形状。

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