Print Email Facebook Twitter Efficient Implementation of GPR Data Inversion in Case of Spatially Varying Antenna Polarizations Title Efficient Implementation of GPR Data Inversion in Case of Spatially Varying Antenna Polarizations Author Wang, J. (TU Delft Microwave Sensing, Signals & Systems) Aubry, P.J. (TU Delft Microwave Sensing, Signals & Systems) Yarovoy, Alexander (TU Delft Microwave Sensing, Signals & Systems) Date 2018 Abstract Ground penetrating radar imaging from the data acquired with arbitrarily oriented dipole-like antennas is considered. To take into account variations of antenna orientations resulting in spatial rotation of antenna radiation patterns and polarizations of transmitted fields, the full-wave method that accounts for the near-, intermediate-, and far-field contributions to the radiation patterns is applied for image reconstruction, which is formulated as a linear inversion problem. Two approaches, namely, an interpolation-based method and a nonuniform fast Fourier transform-based method, are suggested to efficiently implement the full-wave method by computing exact Green's functions. The effectiveness and accuracy of the method proposed have been verified via both numerical simulations and experimental measurements, and significant improvement of the reconstructed image quality compared with the traditional scalar-wave-based migration algorithms is demonstrated. The results can be directly utilized by forward-looking microwave imaging sensors such as installed at tunnel boring machine or can be used for the observation matrix computation in regularization-based inversion algorithms. Subject Antenna radiation patternsDipole antennasGreen's function (GF)Ground penetrating radarground penetrating radar (GPR)Microwave antenna arraysmicrowave imagingnonuniform fast Fourier transform (NUFFT)Radar antennasradiation patternrotated array. To reference this document use: http://resolver.tudelft.nl/uuid:98661794-6d17-4a32-bc85-784838e3894f DOI https://doi.org/10.1109/TGRS.2017.2779788 Embargo date 2021-12-03 ISSN 0196-2892 Source IEEE Transactions on Geoscience and Remote Sensing, 56 (4), 2387-2396 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2018 J. Wang, P.J. Aubry, Alexander Yarovoy Files PDF Efficient_Implementation_ ... ations.pdf 6.65 MB Close viewer /islandora/object/uuid:98661794-6d17-4a32-bc85-784838e3894f/datastream/OBJ/view