DocumentCode
1396295
Title
Autofocusing of SAR images using STFRFT-based preprocessing
Author
Bai, Xiaoqing ; Tao, R. ; Liu, Li-Juan ; Zhao, Junhua
Author_Institution
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
Volume
48
Issue
25
fYear
2012
Firstpage
1622
Lastpage
1624
Abstract
Prominent point processing (PPP) is a very popular synthetic aperture radar (SAR) autofocus algorithm, which can estimate errors caused by any type of unknown motion or other error source and has high accuracy under the assumption that a prominent point scatterer is available within an imaged scene. Proposed is an advanced PPP algorithm with a preprocessing technique based on the short-time fractional Fourier transform (STFRFT) to relax the limitation on the scene content. The performance of the proposed autofocus algorithm is validated using real radar data.
Keywords
Fourier transforms; radar imaging; synthetic aperture radar; SAR images; STFRFT-based preprocessing; advanced PPP algorithm; error source; prominent point processing; prominent point scatterer; real radar data; scene content; short-time fractional Fourier transform; synthetic aperture radar autofocus algorithm;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el.2012.3169
Filename
6407255
Link To Document