Simulation of Ground Penetrating Radar for Anti-personnel Landmine Detection

Xianyang Gao, Frank J.W. Podd, Wouter Van Verre, David J. Daniels, Yee M. Tan, Anthony J. Peyton

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Ground Penetrating Radar (GPR) is an important non-destructive tool to detect landmines. It radiates radar pulses to probe the ground that contains a variety of media, including landmine, sand, soil, clay, water, etc. and a large number of clutter items like burrows, cracks, discarded waste, branches and roots, metal wire, and so on. The subsurface is in such a complex and unidentified condition, that it will impact the performance of the GPR system considerably. This brings a big challenge for the system developers to control and understand the GPR system, especially during the early stage of the design. Therefore, a simpler and less time-consuming simulation method for GPR than the real-field test is essential for engineers to have an overview and a clear grasp of the whole GPR system. This paper uses gprMax, an open-source software using the Finite-Difference Time-Domain (FDTD) method, to explore the parameter tradeoffs for a transmitter-receiver pair of bowtie antennas operating at different spacing and heights above the ground for target at different depths.

Original languageEnglish
Title of host publication2018 17th International Conference on Ground Penetrating Radar, GPR 2018
PublisherIEEE
ISBN (Print)9781538657775
DOIs
Publication statusPublished - 20 Aug 2018
Event17th International Conference on Ground Penetrating Radar - Rapperswil, Switzerland
Duration: 18 Jun 2018 → 21 Jun 2018

Publication series

Name2018 17th International Conference on Ground Penetrating Radar, GPR 2018

Conference

Conference17th International Conference on Ground Penetrating Radar
Abbreviated titleGPR 2018
Country/TerritorySwitzerland
CityRapperswil
Period18/06/18 → 21/06/18

Keywords

  • FDTD
  • gprMax
  • Ground Penetrating Radar
  • simulation

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  • Electromagnetic Sensing Group

    Peyton, A. (PI), Fletcher, A. (Researcher), Daniels, D. (CoI), Conniffe, D. (PGR student), Podd, F. (PI), Davidson, J. (Researcher), Anderson, J. (Support team), Wilson, J. (Researcher), Marsh, L. (PI), O'Toole, M. (PI), Watson, S. (PGR student), Yin, W. (PI), Regan, A. (PGR student), Williams, K. (Researcher), Rana, S. (Researcher), Khalil, K. (PGR student), Hills, D. (PGR student), Whyte, C. (PGR student), Wang, C. (PGR student), Hodgskin-Brown, R. (PGR student), Dadkhahtehrani, F. (PGR student), Forster, S. (PGR student), Zhu, F. (PGR student), Yu, K. (PGR student), Xiong, L. (PGR student), Lu, T. (PGR student), Zhang, L. (PGR student), Lyu, R. (PGR student), Zhu, R. (PGR student), She, S. (PGR student), Meng, T. (PGR student), Pang, X. (PGR student), Zheng, X. (PGR student), Bai, X. (PGR student), Zou, X. (PGR student), Ding, Y. (PGR student), Shao, Y. (PGR student), Xia, Z. (PGR student), Zhang, Z. (PGR student), Khangerey, R. (PGR student) & Lawless, B. (Researcher)

    1/10/04 → …

    Project: Research

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