Tomographic Techniques for Radar Ice Sounding

Low frequency radars, also known as sounders, can be used for subsurface measurements of Earth’s massive ice sheets. Radar data are essential to improving ice sheet models for better prediction of the response of these ice sheets to global climate change. While airborne sounders are needed for detai...

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Bibliographic Details
Main Author: Nielsen, Ulrik
Format: Book
Language:English
Published: Danmarks Tekniske Universitet (DTU) 2015
Subjects:
Online Access:https://orbit.dtu.dk/en/publications/e41618e9-b106-4d74-b86e-78dc2c35a8ac
https://backend.orbit.dtu.dk/ws/files/116760663/Nielsen2015_PhDthesis.pdf
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Summary:Low frequency radars, also known as sounders, can be used for subsurface measurements of Earth’s massive ice sheets. Radar data are essential to improving ice sheet models for better prediction of the response of these ice sheets to global climate change. While airborne sounders are needed for detailed measurements of fast-flowing outlet glaciers, a space-based sounder is potentially capable of broad coverage with high spatial and uniform sampling over the interior of the ice sheets. For both types of systems, however, surface clutter that obscures the depth signal of interest is a major technical challenge. This dissertation deals with tomographic techniques based on multiphase-center radars that represent state-of-the-art technology within the field of ice sounding. The use of advanced tomographic processing for clutter suppression is investigated, which up to this point has been largely unexplored in the literature. The investigation also includes a theoretical study of beam forming and direction-of-arrival (DOA) estimation techniques. In addition to the primary treatment of clutter suppression,additional novel applications of tomography are also explored. Based on an experimental multi-phase-center dataset acquired with the POLarimetric Airborne Radar Ice Sounder (POLARIS), single-pass tomographic surface clutter suppression capabilities are demonstrated for the system. Using repeat-pass POLARIS data, a method based on data-driven DOA estimation is used to show an along-track variation of the effective scattering center of the surface return, which is caused by a varying penetration depth. As an alternative to the traditional echogram, a new DOA representation that offers a better visualization of the desired signals and clutter is suggested. Based on this alternative presentation, a novel technique for discrimination of the desired bed return from strong surface clutter is presented. The technique is applied to data from the channel of the challenging Jakobshavn Glacier acquired with the Multi-channel ...