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OverviewThis 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. Full Product DetailsAuthor: Michael LeigsneringPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: Softcover reprint of the original 1st ed. 2018 Weight: 0.454kg ISBN: 9783319892740ISBN 10: 3319892746 Pages: 108 Publication Date: 04 June 2019 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction and Motivation.- Fundamentals of Compressive Sensing.- Signal Model.- Sparsity-Based Multipath Exploitation.- Mitigating Wall Eects and Uncertainties.- Conclusions and Outlook.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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