TY - JOUR
T1 - Random Subsampling and Data Preconditioning for Ground Penetrating Radars
AU - Cristofani, Edison
AU - Becquaert, Mathias
AU - Lambot, Sebastien
AU - Vandewal, Marijke
AU - Stiens, Johan H.
AU - Deligiannis, Nikos
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2018/5/7
Y1 - 2018/5/7
N2 - Ground penetrating radars (GPRs) for mine detection can profit from the many advantages that compressed sensing can offer through random subsampling in terms of hardware simplification, reduced data volume and measurement time, or imagery simplification. An intrinsic antenna-ground model is used, canceling the undesired reverberation effects and the very strong reflection from the air-soil interface, producing higher detection rates, or even unmasking shallowly buried mines. Extensive Monte Carlo simulations on real GPR measurements (800-2200 MHz) show an increase in the probability of detection, yielding globally promising exploitable results, whenever the principal component analysis technique is used a as preconditioner, as well as providing lower random subsampling bounds for frequency and spatial measurements (cross range), whether applied individually or combined.
AB - Ground penetrating radars (GPRs) for mine detection can profit from the many advantages that compressed sensing can offer through random subsampling in terms of hardware simplification, reduced data volume and measurement time, or imagery simplification. An intrinsic antenna-ground model is used, canceling the undesired reverberation effects and the very strong reflection from the air-soil interface, producing higher detection rates, or even unmasking shallowly buried mines. Extensive Monte Carlo simulations on real GPR measurements (800-2200 MHz) show an increase in the probability of detection, yielding globally promising exploitable results, whenever the principal component analysis technique is used a as preconditioner, as well as providing lower random subsampling bounds for frequency and spatial measurements (cross range), whether applied individually or combined.
KW - Basis pursuit denoising
KW - compressed sensing
KW - ground penetrating radar
KW - landmines
KW - principal component analysis
KW - stepped-frequency continuous-wave
KW - synthetic aperture radar
UR - http://www.scopus.com/inward/record.url?scp=85046792259&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2018.2831905
DO - 10.1109/ACCESS.2018.2831905
M3 - Article
AN - SCOPUS:85046792259
SN - 2169-3536
VL - 6
SP - 26866
EP - 26880
JO - IEEE Access
JF - IEEE Access
ER -