TY - GEN
T1 - GPR measurements inversion in case of spatially varying antenna polarization
AU - Wang, Jianping
AU - Aubry, Pascal
AU - Yarovoy, Alexander
N1 - Publisher Copyright:
© 2017 URSI.
PY - 2017/11/10
Y1 - 2017/11/10
N2 - In this paper, Ground Penetrating Radar (GPR) imaging with arbitrarily oriented antennas within the data acquisition aperture is studied. The variations of antenna orientations change both the polarization of the radiated electromagnetic fields and spatial radiation patterns, which are assumed to be constant in traditional imaging algorithms. To overcome these effects, a linear inversion scheme is proposed by considering the exact radiation patterns of antennas. In terms of implementation, spatially varied radiation patterns are needed for arbitrarily orientated antennas. To efficiently acquire the radiation patterns, we suggest an interpolation-based method to compute the accurate Green's functions. Moreover, thanks to the frequency domain modeling, the proposed linear inversion approach also facilitates the signal fusion of multi-band GPR measurements for improved imaging, which is necessary for some practical applications. Finally, the imaging performance of the linear inversion approach is demonstrated through a numerical experiment.
AB - In this paper, Ground Penetrating Radar (GPR) imaging with arbitrarily oriented antennas within the data acquisition aperture is studied. The variations of antenna orientations change both the polarization of the radiated electromagnetic fields and spatial radiation patterns, which are assumed to be constant in traditional imaging algorithms. To overcome these effects, a linear inversion scheme is proposed by considering the exact radiation patterns of antennas. In terms of implementation, spatially varied radiation patterns are needed for arbitrarily orientated antennas. To efficiently acquire the radiation patterns, we suggest an interpolation-based method to compute the accurate Green's functions. Moreover, thanks to the frequency domain modeling, the proposed linear inversion approach also facilitates the signal fusion of multi-band GPR measurements for improved imaging, which is necessary for some practical applications. Finally, the imaging performance of the linear inversion approach is demonstrated through a numerical experiment.
UR - https://www.scopus.com/pages/publications/85046138257
U2 - 10.23919/URSIGASS.2017.8105147
DO - 10.23919/URSIGASS.2017.8105147
M3 - Conference contribution
AN - SCOPUS:85046138257
T3 - 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
SP - 1
EP - 4
BT - 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
Y2 - 19 August 2017 through 26 August 2017
ER -