DocumentCode
1482632
Title
Analysis of wide-angle radar imaging
Author
Zhou, Fen ; Bai, Xiaoqing ; Xing, Mengdao ; Bao, Zhen
Author_Institution
Key Lab. for Radar Signal Process., Xidian Univ., Xi´an, China
Volume
5
Issue
4
fYear
2011
fDate
4/1/2011 12:00:00 AM
Firstpage
449
Lastpage
457
Abstract
In wideband radar imaging, it is necessary to increase the target observation angle, that is, the imaging time to obtain high azimuth resolution. For wide-angle targets, however, migration through resolution cell will occur and the Doppler information of the scatterers will be time varying, which can lead to image defocusing in both the range and azimuth domain if the range-Doppler (RD) method is applied. Aimed at this problem, this study builds up the imaging model for steadily moving targets with a constant rotation axis. Then it compares the RD algorithm, the Keystone algorithm and the polar format algorithm with theoretical analysis and deduces the maximum observation angles that fit for these methods, respectively. Additionally, this study proposes a new algorithm for imaging of targets with large observation angles based on the complex inverse Radon transform. Instead of applying the Taylor-s series approximation, this method strictly follows the signal model for scatterers with a wide observation angle and utilises curvilinear integral with phase information for image formation. Therefore it is valid in wide-angle scenarios. Finally, imaging results for both the simulated and measured data are given to analyse the performance of the available algorithms and to prove the validity of the proposed algorithm.
Keywords
Radon transforms; inverse transforms; radar imaging; Doppler information; Keystone algorithm; Taylor series approximation; complex inverse Radon transform; constant rotation axis; image formation; range Doppler method; target observation angle; wide angle radar imaging; wideband radar imaging;
fLanguage
English
Journal_Title
Radar, Sonar & Navigation, IET
Publisher
iet
ISSN
1751-8784
Type
jour
DOI
10.1049/iet-rsn.2010.0076
Filename
5739666
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