Reducing the Induction Footprint of Ultra-Wideband Antennas for Ground-Penetrating Radar in Dual-Modality Detectors

Wouter Van Verre, Frank Jw Podd, Xianyang Gao, Liam A Marsh, John L Davidson, David J Daniels, Anthony J Peyton

Research output: Contribution to journalArticlepeer-review


The combination of metal detection (MD) and ground-penetrating radar (GPR) has been successfully deployed to combat the threat from buried antipersonnel landmines. A number of issues arise from the close integration of these two sensing modalities. One issue is the proximity of the metallic GPR antennas to the MD coils, which affects the performance of the MD due to the eddy currents created within the GPR antenna structure. In this article, the effect of traditional solid bowtie antenna design on an MD is investigated, and avenues for the reduction of the eddy currents are explored. Three modifications to the solid bowtie design are proposed and evaluated. This article presents the measurements of the MD response to all four antenna designs using a magnetic induction spectroscopy sensor. It was found that the MD response to the bowtie antenna can be reduced by 91%-98% across the MD operating frequency band, without significantly altering the RF performance, such as reflection and transmission coefficient and radiation pattern.

Original languageEnglish
Article number9212616
Pages (from-to)1293-1301
Number of pages9
JournalIEEE Transactions on Antennas and Propagation
Issue number3
Publication statusPublished - 5 Oct 2020


  • Bowtie antenna
  • dual modality
  • ground-penetrating radar (GPR)
  • magnetic induction spectroscopy
  • metal detection (MD)
  • multifrequency


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  • Electromagnetic Sensing Group

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

    1/10/04 → …

    Project: Research

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