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Article

Experimental Validation of a Microwave Imaging Method for Shallow Buried Target Detection by Under-Sampled Data and a Non-Cooperative Source

1
Dipartimento di Ingegneria, Università degli Studi della Campania Luigi Vanvitelli, 81031 Aversa, Italy
2
Consorzio Nazionale Interuniversitario per le Telecomunicazioni-CNIT, 43124 Parma, Italy
3
Department of Electrical Engineering, Indian Institute of Technology, Chennai 600036, India
*
Author to whom correspondence should be addressed.
Academic Editor: Giacomo Oliveri
Sensors 2021, 21(15), 5148; https://doi.org/10.3390/s21155148
Received: 21 June 2021 / Revised: 22 July 2021 / Accepted: 27 July 2021 / Published: 29 July 2021
(This article belongs to the Special Issue Microwave Sensing and Imaging)
In microwave imaging, it is often of interest to inspect electrically large spatial regions. In these cases, data must be collected over a great deal of measurement points which entails long measurement time and/or costly, and often unfeasible, measurement configurations. In order to counteract such drawbacks, we have recently introduced a microwave imaging algorithm that looks for the scattering targets in terms of equivalent surface currents supported over a given reference plane. While this method is suited to detect shallowly buried targets, it allows one to independently process all frequency data, and hence the source and the receivers do not need to be synchronized. Moreover, spatial data can be reduced to a large extent, without any aliasing artifacts, by properly combining single-frequency reconstructions. In this paper, we validate such an approach by experimental measurements. In particular, the experimental test site consists of a sand box in open air where metallic plate targets are shallowly buried a (few cm) under the air/soil interface. The investigated region is illuminated by a fixed transmitting horn antenna, whereas the scattered field is collected over a planar measurement aperture at a fixed height from the air-sand interface. The transmitter and the receiver share only the working frequency information. Experimental results confirm the feasibility of the method. View Full-Text
Keywords: radar imaging; target detection; experimental measurements; microwave imaging radar imaging; target detection; experimental measurements; microwave imaging
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MDPI and ACS Style

Brancaccio, A.; Leone, G.; Pierri, R.; Solimene, R. Experimental Validation of a Microwave Imaging Method for Shallow Buried Target Detection by Under-Sampled Data and a Non-Cooperative Source. Sensors 2021, 21, 5148. https://doi.org/10.3390/s21155148

AMA Style

Brancaccio A, Leone G, Pierri R, Solimene R. Experimental Validation of a Microwave Imaging Method for Shallow Buried Target Detection by Under-Sampled Data and a Non-Cooperative Source. Sensors. 2021; 21(15):5148. https://doi.org/10.3390/s21155148

Chicago/Turabian Style

Brancaccio, Adriana, Giovanni Leone, Rocco Pierri, and Raffaele Solimene. 2021. "Experimental Validation of a Microwave Imaging Method for Shallow Buried Target Detection by Under-Sampled Data and a Non-Cooperative Source" Sensors 21, no. 15: 5148. https://doi.org/10.3390/s21155148

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