Improvement of GPR SAR-based techniques for accurate detection and imaging of buried objects
Subject:
drones
ground penetrating radar
imagen radar
sensores
detección minas antipersona
radar
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The Institute of Electrical and Electronic Engineers
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Abstract:
This contribution introduces three methodologies to improve Synthetic Aperture Radar (SAR)-based techniques used in Ground Penetrating Radar (GPR) systems. They consist of i) equalization of the frequency response of the transmitting (Tx) and receiving (Rx) antennas, ii) processing of SAR images using partially overlapped frequency sub-bands, and iii) imaging domain clustering. The goal is to combine ground penetration capabilities of lower frequency bands with the resolution achieved when increasing the overall frequency band, resulting in enhanced detection and imaging capabilities. Validation of these techniques has been done at three levels: first using simulations, next by means of measurements in a controlled scenario and, finally, using a portable setup deployed in a realistic scenario.
This contribution introduces three methodologies to improve Synthetic Aperture Radar (SAR)-based techniques used in Ground Penetrating Radar (GPR) systems. They consist of i) equalization of the frequency response of the transmitting (Tx) and receiving (Rx) antennas, ii) processing of SAR images using partially overlapped frequency sub-bands, and iii) imaging domain clustering. The goal is to combine ground penetration capabilities of lower frequency bands with the resolution achieved when increasing the overall frequency band, resulting in enhanced detection and imaging capabilities. Validation of these techniques has been done at three levels: first using simulations, next by means of measurements in a controlled scenario and, finally, using a portable setup deployed in a realistic scenario.
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Patrocinado por:
Ministerio de Educación - Gobierno de España, beca FPU15/06341 Ministerio de Ciencia, Innovación y Universidades - Gobierno de España, proyecto RTI2018-095825-B-I00 (”MilliHand”) Gobierno del Principado de Asturias (PCTI) y Unión Europea (FEDER), proyectos IDI/2018/000191 y IDI/2017/000095 Instituto Universitario de Investigación Industrial de Asturias (IUTA), proyectos SV-17-GIJON-1-18, SV-18-GIJON-1-07 (”Georradar embarcado en un dron para detección de minas y otros objetos enterrados (GEODRON)”), y SV-19-GIJON-1-17.
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