GPR Bowtie Antennas with Reduced Induction Footprints for Dual-Modality Detectors

Verre, Wouter van; Gao, Xianyang; Podd, Frank; Daniels, David J.; Peyton, Anthony

doi:10.1109/apusncursinrsm.2019.8889194

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…In this paper, which extends a previous conference publication [10], the effect of bowtie antennas in dual-modality landmine detection systems will be considered. The results are presented based on an analytical model, simulations using CST Microwave Studio and measurements.…”

Section: Introductionmentioning

confidence: 89%

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

Verre

Podd

Gao

et al. 2021

IEEE Trans. Antennas Propagat.

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The combination of metal detection (MD) and ground-penetrating radar (GPR) has been successfully deployed to combat the threat from buried anti-personnel 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 paper the effect of traditional solid bowtie antenna design on a 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 paper presents 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% to 98% across the MD operating frequency band, without significantly altering the RF performance, such as reflection and transmission coefficient and radiation pattern.

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Section: Introductionmentioning

confidence: 89%

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

Verre

Podd

Gao

et al. 2021

IEEE Trans. Antennas Propagat.

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“… 11 Radar-based MW imaging is a qualitative technique and focuses signals on set points to identify regions with unusual scatter. 12 Applications of MW technologies are far reaching, with research in agricultural, 13,14 military 15,16 and clinical areas. This review will present the potential clinical pathways for MW imaging, which have taken both tomography and radar-based approaches and explore how nanomaterials can be used as contrast enhancers.…”

Section: Microwave Imaging/sensing and Its Principlesmentioning

confidence: 99%

Nanomaterials responding to microwaves: an emerging field for imaging and therapy

et al. 2021

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“…A novel processing algorithm for the detection of the buried metallic objects is presented here, and the performance is analyzed over three different soil types, including heavily mineralized soil. Furthermore, the MIS sensor formed part of a dual-modality sensor, which creates additional complexity due to the presence of large GPR metallic components in the middle of the coils [31]. The signals captured by the sensor used in this experiment are also being released alongside this article.…”

Section: Background Theorymentioning

confidence: 99%

Detection of Metallic Objects in Mineralized Soil Using Magnetic Induction Spectroscopy

Verre

Marsh

Davidson

et al. 2021

IEEE Trans. Geosci. Remote Sensing

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The detection of small metallic objects buried in mineralized soil poses a challenge for metal detectors, especially when the response from the metallic objects is orders of magnitude below the response from the soil. This article describes a new, handheld, detector system based on magnetic induction spectroscopy (MIS), which can be used to detect buried metallic objects, even in challenging soil conditions. Experimental results consisting of 1669 passes across either buried objects or empty soil are presented. Fourteen objects were buried at three different depths in three types of soil including nonmineralized and mineralized soils. A novel processing algorithm is proposed to demonstrate how spectroscopy can be used to detect metallic objects in mineralized soils. The algorithm is robust across all types of soil, objects, and depths used in this experiment and achieves a true positive rate over 99% at a false-positive rate of less than 5%, based on just a single pass over the object. It has also been shown that the algorithm does not have to be trained separately for each soil type. The data gathered in the experiment are also published to enable more research on the processing algorithms for MIS-based detectors.

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GPR Bowtie Antennas with Reduced Induction Footprints for Dual-Modality Detectors

Cited by 3 publications

References 3 publications

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

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

Nanomaterials responding to microwaves: an emerging field for imaging and therapy

Detection of Metallic Objects in Mineralized Soil Using Magnetic Induction Spectroscopy

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