Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging

Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging

English | PDF,EPUB | 2018 | 124 Pages | ISBN : 3319742825 | 7.3 MB

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.


[Fast Download] Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging

Ebooks related to "Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging" :
Interactive Mobile Communication Technologies and Learning
The Visual Dictionary of Communications & Office Automation
Apache Server Unleashed
Networking Communication and Data Knowledge Engineering: Volume 2
Information Security and Cryptology
Communications Engineering: Essentials for Computer Scientists and Electrical Engineers
Wired Shut: Copyright and the Shape of Digital Culture
Complex Conjugate Matrix Equations for Systems and Control
SIP Handbook
Principles of Digital Communication: A Top-Down Approach
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.