DocumentCode
1797019
Title
Super-resolution imaging algorithm based on attributed scattering center model
Author
Wu Min ; Xing Meng-dao ; Zhang Lei ; Duan Jia ; Xu Gang
Author_Institution
Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
fYear
2014
fDate
9-13 July 2014
Firstpage
271
Lastpage
275
Abstract
Based on attributed scattering center, a novel algorithm of super-resolution synthetic aperture radar (SAR) imaging is proposed in this paper to characterize physical properties of the scattering object. An improved Orthogonal Matching Pursuit (OMP) algorithm is utilized to estimate the parameter of the simplified attributed scattering center model. To realize super-resolution, spectrum extrapolation is preformed in signal reconstruction based on the estimated model parameter. The method can accurately describe the physical structure compared with the traditional super-resolution algorithm based on the point scattering model. In addition, the method has fast computation efficiency and can achieve a better focusing performance with the utilization of the orientation angle. The simulation results validate the superiority of the proposed algorithm.
Keywords
electromagnetic wave scattering; extrapolation; image reconstruction; image resolution; iterative methods; radar imaging; synthetic aperture radar; OMP algorithm; attributed scattering center model; model parameter estimation; orientation angle; orthogonal matching pursuit; signal reconstruction; spectrum extrapolation; super-resolution SAR imaging algorithm; synthetic aperture radar; Image resolution; Imaging; Parameter estimation; Radar imaging; Scattering; Signal processing algorithms; Signal resolution; Synthetic aperture radar; attributed scattering centers; super-resolution imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4799-5401-8
Type
conf
DOI
10.1109/ChinaSIP.2014.6889246
Filename
6889246
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