No-contact Ground Penetrating Radars (GPRs) are popular microwave sensors for investigating soils or masonry/stone walls. In this paper the authors evaluated the compressive sensing (CS) as possible technique for speeding up the acquisition time of this kind of application. In effect the CS approach could reduce the number of acquisition points, and then the measurement time by using only a random pattern of the antennas positions. The authors found that the data reconstruction loses quality even with a reduction of 25 % of the number of acquisitions, but the features of the targets still visible. With a reduction of 50 % the SNR decrease sensibly and most of the targets are not detectable. Such a time reduction results rather marginal in most practical cases.

Compressive Sensing for No-Contact 3D Ground Penetrating Radar / lapo miccinesi; neda rojhani; massimiliano pieraccini. - ELETTRONICO. - (2018), pp. 1-4. (Intervento presentato al convegno 2018 41st International Conference on Telecommunications and Signal Processing (TSP)) [10.1109/TSP.2018.8441448].

Compressive Sensing for No-Contact 3D Ground Penetrating Radar

lapo miccinesi;neda rojhani;massimiliano pieraccini
2018

Abstract

No-contact Ground Penetrating Radars (GPRs) are popular microwave sensors for investigating soils or masonry/stone walls. In this paper the authors evaluated the compressive sensing (CS) as possible technique for speeding up the acquisition time of this kind of application. In effect the CS approach could reduce the number of acquisition points, and then the measurement time by using only a random pattern of the antennas positions. The authors found that the data reconstruction loses quality even with a reduction of 25 % of the number of acquisitions, but the features of the targets still visible. With a reduction of 50 % the SNR decrease sensibly and most of the targets are not detectable. Such a time reduction results rather marginal in most practical cases.
2018
2018 41st International Conference on Telecommunications and Signal Processing (TSP)
2018 41st International Conference on Telecommunications and Signal Processing (TSP)
lapo miccinesi; neda rojhani; massimiliano pieraccini
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1133172
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