TY  - BOOK
AU  - Leigsnering,Michael
ED  - SpringerLink (Online service)
TI  - Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging
T2  - Springer Theses, Recognizing Outstanding Ph.D. Research,
SN  - 9783319742830
AV  - TK5102.9 
U1  - 621.382 23
PY  - 2018///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Signal processing
KW  - Image processing
KW  - Speech processing systems
KW  - Lasers
KW  - Photonics
KW  - Remote sensing
KW  - Optical data processing
KW  - Signal, Image and Speech Processing
KW  - Optics, Lasers, Photonics, Optical Devices
KW  - Remote Sensing/Photogrammetry
KW  - Image Processing and Computer Vision
N1  - Acceso multiusuario
N2  - 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
UR  - http://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-74283-0
ER  -