Convolutional models for buried target characterization with ground penetrating Radar
Convolutional models for buried target characterization with ground penetrating Radar
复制标题
探地雷达埋地目标表征的卷积模型
DOI：
10.1109/tap.2005.858586
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发表时间：
2005
影响因子：
5.7
通讯作者：
Michel Verhaegen
中科院分区：
文献类型：
--
作者：
Friedrich Roth;P. Genderen;Michel Verhaegen
利用探地雷达（GPR）识别埋设的杀伤人员地雷需要特定应用的散射模型和相关的估计算法，将测量的散射场与目标特征（如大小、材料组成和埋深）联系起来。为此，我们从散射场的积分表示出发，推导了埋藏介质和金属类地雷目标探地雷达响应的频域和时域卷积模型，包括目标传递函数/脉冲响应的简单解析表达式。推导的主要步骤是用玻恩近似或物理光学近似对散射问题进行线性化，应用半空间格林张量的新远场后向散射表示，以及引入探地雷达天线和接收机链的点源/接收机模型。利用三维时域有限差分（FDTD）和实测数据实例，我们说明了卷积模型的有效性，以及如何使用卷积模型来表征埋地目标。对于表征，我们使用了一种称为“子集选择反卷积”的反卷积算法，该算法使用我们的目标脉冲响应近似作为待估计脉冲响应形式的先验信息。结果表明，在实验室条件下，根据估计的脉冲响应以毫米精度确定目标尺寸和深度是可能的，这两者对于地雷识别都是有价值的信息。
Identification of buried antipersonnel landmines with ground penetrating radar (GPR) establishes a need for application-specific scattering models and associated estimation algorithms relating the measured scattered field to target characteristics such as size, material composition and burial depth. To this end, starting from integral representations of the scattered field, we derive frequency- and time-domain convolutional models for the GPR response of buried dielectric and metal mine-like targets, including simple analytical expressions for the target transfer function/impulse response. The main steps in the derivation are the linearization of the scattering problem by either the Born or the Physical Optics approximation, the application of a new far-field backscattering representation of the half-space Green's tensor, and the introduction of point source/receiver models for the GPR antennas and the receiver chain. Using three-dimensional finite-difference time-domain (FDTD) and measured data examples, we illustrate the validity of the convolutional models and how they can be used to characterize buried targets. For the characterization, we make use of a deconvolution algorithm, termed "subset selection deconvolution", which uses our target impulse response approximations as a priori information on the form of the impulse response to be estimated. The results demonstrate the possibility to determine target size and depth from the estimated impulse response with millimeter accuracy under laboratory conditions, both of which are valuable information for landmine identification.
探地雷达地雷探测UWB反卷积与特征提取算法对比分析
DOI：
--
发表时间：
2004
期刊：
SPIE Defense + Commercial Sensing
影响因子：
--
作者：
Timofei G. Savelyev;Motoyuki Sato
通讯作者：
Motoyuki Sato