Paper Info
Title
Sidelobe Reduction for UWB Radar Imaging Based on Spatial Spectrum Coherence Factor.
Abstract
Ultra-wideband (UWB) radar imaging has been applied in various applications such as synthetic aperture radar (SAR) imaging, through-wall-radar imaging and terahertz imaging. High level sidelobes raised by imaging approaches have serious impact on the image quality. In this paper a sidelobe reduction method for UWB radar imaging is proposed. The spatial spectrum coherence factor (CF) based sidelobe reduction method reduces the sidelobes and keeps the mainlobes simultaneously. The simulated and real data results have validated the effective, stable and convenient method.
Year
DOI
Venue
2019
10.1109/ICCT46805.2019.8947042
ICCT
Field
DocType
Citations 
Radar imaging,Spatial spectrum,Synthetic aperture radar,Computer science,Image quality,Optics,Real-time computing,Coherence factor,Terahertz radiation
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Zhi Li13310.51
Jianwen Zhang231914.74