Mapping of Ice Sheet Deep Layers and Fast Outlet Glaciers with Multi-Channel-High-Sensitivity Radar
This dissertation discusses the waveform design, the development of SAR and clutter reduction algorithms for MCRDS radars that are developed at CReSIS to map the ice-sheet bed, deep internal layers and fast-flowing outlet glaciers. It is verified with survey data that the sidelobe level of the desig...
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Other Authors: | , , , , |
Format: | Doctoral or Postdoctoral Thesis |
Language: | English |
Published: |
University of Kansas
2009
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Subjects: | |
Online Access: | http://hdl.handle.net/1808/5666 http://dissertations.umi.com/ku:10690 |
Summary: | This dissertation discusses the waveform design, the development of SAR and clutter reduction algorithms for MCRDS radars that are developed at CReSIS to map the ice-sheet bed, deep internal layers and fast-flowing outlet glaciers. It is verified with survey data that the sidelobe level of the designed tapered linear chirp waveform is lower than -60dB for reliable detection of deep ice layers close to the bed. The SAR processing is implemented in f-k domain with motion compensation. Very weak echoes from the deepest parts of Jakobshavn channel are detected for the first time using large synthetic aperture length. A beam-spaced clutter-reduction algorithm is developed to reduce the distributed across-track ice clutter encountered in sounding fast outlet glaciers by estimating the clutter power as a function of depth. On average this method is able to reduce ice clutter by 10dB over Hanning weighting with the MCRDS radar's multi-channel data. |
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