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
Link To Document :
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