DocumentCode
678156
Title
A novel subband fusion method for SAR echo combined with compressed sensing
Author
Peng-bo Wang ; Yue-shan Liu ; Chun-sheng Li ; Zhong-ma Cui ; Jie Chen ; Shuang Li
Author_Institution
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
fYear
2013
fDate
21-26 July 2013
Firstpage
1242
Lastpage
1245
Abstract
In this paper, a novel sub-band fusion technique for SAR echo using compressed sensing was proposed. As we all known, high resolution and wide swath are the trend of SAR systems, while the range resolution of SAR is limited by the bandwidth of transmitted signal. Our proposed algorithm aimed to take the compressed sensing and sub-band fusion into the SAR systems, realize high resolution and reduce the amounts of SAR conveyed data. Internal calibration was used to extract the phase error from each channel. And Orthogonal Matching Pursuit algorithm was used for range signal recovery. After coherent processing, we can acquire ultra-wide bandwidth echo. And finally, refined range Doppler algorithm was employed for range cell migration correction and azimuth compression. We proved the proposed algorithm used the fusion experiment at the end of the paper.
Keywords
Doppler effect; calibration; compressed sensing; echo; iterative methods; radar resolution; radar signal processing; synthetic aperture radar; time-frequency analysis; Doppler algorithm; SAR echo; SAR range resolution; azimuth compression; cell migration correction; coherent processing; compressed sensing; internal calibration; orthogonal matching pursuit algorithm; phase error extraction; signal recovery; subband fusion method; ultra-wide bandwidth echo; Azimuth; Bandwidth; Compressed sensing; Doppler effect; Matching pursuit algorithms; Signal resolution; Synthetic aperture radar; Compressed Sensing; Sub-band Fusion; Synthetic Aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6723005
Filename
6723005
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