Overview
- Nominated as an outstanding PhD thesis by the Technische Universität Darmstadt, Germany
- Combines the fields of through-the-wall radar imaging and compressive sensing
- Demonstrates how image quality can be improved by exploiting multipath and sparse reconstruction techniques
- Reports on methods validated for both simulated and measured data
- Nominated as “Best Dissertation 2015 in Electrical Engineering and Information Technology” by Vereinigung von Freunden der Technischen Universität zu Darmstadt e.V
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (6 chapters)
Keywords
- Wall Location Estimation
- Dictionary Learning
- Multipath Exploitation
- Compressive Sensing
- Sparse Reconstruction
- Target Velocity Estimation
- Wall Clutter Mitigation
- Multipath Model
- Ghost Target Suppression
- Sparse Representations
- Compressed Sampling
- Front Wall Reverberations
- Wall Ringing
- Urban Radar
- TWRI
- Target Reconstruction
- Near- Field Imaging
- remote sensing/photogrammetry
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging
Authors: Michael Leigsnering
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-74283-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-74282-3Published: 27 February 2018
Softcover ISBN: 978-3-319-89274-0Published: 04 June 2019
eBook ISBN: 978-3-319-74283-0Published: 16 February 2018
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XX, 108
Number of Illustrations: 17 b/w illustrations, 21 illustrations in colour
Topics: Signal, Image and Speech Processing, Optics, Lasers, Photonics, Optical Devices, Remote Sensing/Photogrammetry, Image Processing and Computer Vision