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Microwave imaging of buried objects for ground radar tomography

机译:用于地面雷达层析成像的埋藏物体的微波成像

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摘要

The detection and identification of buried inhomogeneities using electromagnetic waves are of great importance for nondestructive testing in geophysical, civil engineering, military, or humanitarian applications. The approach described here uses a linear inversion algorithm based on diffraction tomography to process the backscattered field signal generated by the buried inhomogeneities, measured over a probing area, for computation of a tomographic image of the ground. The technique has been extended to cater for time pulse (synthetic pulse or real pulse) illumination and to incorporate the near-field radiation pattern transmitted by a broadband antenna. The backscattered field is measured at various locations with a receiving antenna for different positions of the transmitting antenna. The main advantages of such a method are the use of explicit formulas for solving the imaging problem and the possibility of rapid image display thanks to the use of Fast Fourier transform to implement the reconstruction algorithms on PCs. First, a number of tomographic reconstructions of buried objects are given for situations of practical interest. Results of numerical simulations with a Rayleigh incident pulse in the frequency band [0.3,3.0] GHz and the use of a bow tie antenna in the frequency band [0.3,1.3] GHz are presented. Second, tomographic reconstructions of buried objects are presented and discussed, to demonstrate the influence of object dielectric properties versus soil electromagnetic parameters.
机译:使用电磁波检测和识别掩埋的不均匀性对于地球物理,土木工程,军事或人道主义应用中的无损检测非常重要。此处描述的方法使用基于衍射层析成像的线性反演算法来处理由探测区域上测得的由掩埋的不均匀性产生的反向散射场信号,以计算地面的层析图像。该技术已得到扩展,以适应时间脉冲(合成脉冲或实脉冲)的照明,并结合了宽带天线发射的近场辐射方向图。对于发射天线的不同位置,使用接收天线在各个位置测量反向散射场。这种方法的主要优点是使用显式公式解决了成像问题,并且由于使用了快速傅里叶变换在PC机上实现了重建算法,因此可以快速显示图像。首先,针对实际感兴趣的情况,对掩埋物体进行了许多层析成像重建。给出了在[0.3,3.0] GHz频带内使用瑞利入射脉冲并在[0.3,1.3] GHz频带内使用领结天线进行数值模拟的结果。其次,提出并讨论了掩埋物体的层析成像重建技术,以证明物体介电特性与土壤电磁参数之间的关系。

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  • 来源
    《Radio Science》 |2000年第3期|757-771|共15页
  • 作者单位

    Centre d'Enseignement et de Recherche en Mathématiques, Informatique et Calcul Scientifique / Institut National de Recherche en Informatique et en Automatique, Sophia Antipolis, France, Now at AMADEUS, Sophia Antipolis, France.;

    Laboratoire d'Electronique, Antennes et Télécommunications Université de Nice-Sophia Antipolis / CNRS, Valbonne, France;

    Laboratoire d'Electronique, Antennes et Télécommunications Université de Nice-Sophia Antipolis / CNRS, Valbonne, France;

    Department of Electrical Engineering, University College, Australian Defence Force Academy Campbell, Australia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Image reconstruction; Microwave imaging; Microwave theory and techniques; Buried object detection; Tomography; Broadband antennas;

    机译:图像重建;微波成像;微波理论与技术;掩埋物体检测;层析成像;宽带天线;

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