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Titlebook: Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging; Michael Leigsnering Book 2018 Springer International Publishing

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書目名稱Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging
編輯Michael Leigsnering
視頻videohttp://file.papertrans.cn/874/873417/873417.mp4
概述Nominated as an outstanding PhD thesis by the Technische Universit?t Darmstadt, Germany.Combines the fields of through-the-wall radar imaging and compressive sensing.Demonstrates how image quality can
叢書名稱Springer Theses
圖書封面Titlebook: Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging;  Michael Leigsnering Book 2018 Springer International Publishing
描述.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..
出版日期Book 2018
關(guān)鍵詞Wall Location Estimation; Dictionary Learning; Multipath Exploitation; Compressive Sensing; Sparse Recon
版次1
doihttps://doi.org/10.1007/978-3-319-74283-0
isbn_softcover978-3-319-89274-0
isbn_ebook978-3-319-74283-0Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightSpringer International Publishing AG 2018
The information of publication is updating

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Introduction and Motivation,ories and comic books, most notably Superman. From a scientific perspective, real X-rays are not well-suited for this purpose as they are absorbed by walls and pass through possible objects of interest.
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Conclusions and Outlook,een proposed which yield highly-resolved and artifact-free images of stationary and moving targets. Adverse effects related to reflections from the building structure have been tackled using joint reconstruction approaches.
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