Real-time Imaging of Human Bodies with UWB Radars using Walking Motion
Real-time Imaging of Human Bodies with UWB Radars using Walking Motion
复制标题
DOI：
10.1109/icuwb.2007.4380909
复制
发表时间：
2007-11
期刊：
影响因子：
--
通讯作者：
T. Sakamoto;T. Sato
中科院分区：
文献类型：
--
作者：
T. Sakamoto;T. Sato
超宽带（UWB）脉冲雷达是一种很有前途的用于防止犯罪和恐怖活动的监视系统。为了将超宽带脉冲雷达应用于实时性要求较高的领域，提出了基于bst和直接散射波提取的高速SEABED成像算法。SEABED算法基于目标形状和接收数据之间的可逆BST（边界散射变换）。这种变换不需要像合成孔径法或区域积分方程法那样的迭代计算。SEABED算法假设扫描全向天线以观察每个位置的散射电场。然而，在监视系统领域，扫描天线是不切实际的。在本文中，步行运动被用来取代扫描天线。我们提出了一种新的算法来估计人体的形状使用的数据提供的人体通过固定天线。
UWB (ultra wide-band) pulse radar is a promising candidate for surveillance systems used to prevent crimes and terror. The high-speed "SEABED" (shape estimation algorithm based on bst and extraction of directly scattered waves) imaging algorithm is deployed to apply UWB pulse radar in fields that require realtime operations. The SEABED algorithm is based on a reversible BST (boundary scattering transform) between the target shape and the received data. This transform does not require the iterative calculations needed by other algorithms such as the synthetic aperture method or the domain integral equation method. The SEABED algorithm assumes that omni-directional antennas are scanned to observe the scattered electric field in each location. However, in the field of surveillance systems, scanning antennas are impractical. In this paper, walking motion is used to replace scanning antennas. We propose a new algorithm to estimate the shape of a human body using the data provided by a human body passing stationary antennas.