DocumentCode :
641543
Title :
An improved shift-and-correlation (ISAC) algorithm for Doppler rate estimation based on the radon transform
Author :
Yufeng Wu ; Guangcai Sun ; Xueshi Li ; Mengdao Xing ; Zheng Bao
Author_Institution :
Key Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
fYear :
2013
fDate :
14-16 April 2013
Firstpage :
1
Lastpage :
5
Abstract :
Doppler rate is an important parameter in synthetic aperture radar (SAR) signal processing since it affects the SAR image focusing. This paper addresses the problem of Doppler rate estimation for spotlight SAR focused with the TWO-STEP algorithm and an improved shift-and-correlation (SAC) algorithm based on the Radon transform is proposed. Firstly, the original SAC algorithm is carried out to get the correlation peak line (CPL). Then the slope of the CPL is determined by the Radon transform and the CPL is corrected to be vertical using the obtained slope. Since there is no zero padding, aliasing will occur in the Doppler rate estimation and the ambiguity number is got from the CPL´s slope. However, when the ambiguity number splits into two numbers the obtained ambiguity number may be wrong. This special case is analyzed in the paper and a trick is introduced to deal with it. The real spotlight SAR data processing results are provided to validate the effectiveness of the proposed algorithm.
Keywords :
Doppler radar; Radon transforms; radar imaging; synthetic aperture radar; CPL slope; Doppler rate estimation; ISAC algorithm; Radon transform; SAR data processing; SAR image focusing; SAR signal processing; ambiguity number; correlation peak line; shift-and-correlation algorithm; synthetic aperture radar signal processing; two-step algorithm; Ambiguity number; Doppler rate estimation; Improved Shift-and-correlation (ISAC); Radon transform; Spotlight SAR;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Radar Conference 2013, IET International
Conference_Location :
Xi´an
Electronic_ISBN :
978-1-84919-603-1
Type :
conf
DOI :
10.1049/cp.2013.0129
Filename :
6624293
Link To Document :
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