Leseprobe
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Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging
Michael Leigsnering
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Springer International Publishing 
Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik
Beschreibung
This thesis reports on sparsity-based multipath exploitation methods for through-the-wall radar imaging. Multipath creates ambiguities in the measurements provoking unwanted ghost targets in the image. This book describes sparse reconstruction methods that are not only suppressing the ghost targets, but using multipath to one’s advantage. With adopting the compressive sensing principle, fewer measurements are required for image reconstruction as compared to conventional techniques. The book describes the development of a comprehensive signal model and some associated reconstruction methods that can deal with many relevant scenarios, such as clutter from building structures, secondary reflections from interior walls, as well as stationary and moving targets, in urban radar imaging. The described methods are evaluated here using simulated as well as measured data from semi-controlled laboratory experiments.
Kundenbewertungen
Wall Ringing, Compressive Sensing, remote sensing/photogrammetry, Multipath Exploitation, Wall Location Estimation, Ghost Target Suppression, Sparse Reconstruction, TWRI, Sparse Representations, Near- Field Imaging, Compressed Sampling, Multipath Model, Urban Radar, Front Wall Reverberations, Dictionary Learning, Wall Clutter Mitigation, Target Velocity Estimation, Target Reconstruction