NSSC OpenIR  > 微波遥感部
A SPARSE OPTIMIZATION METHOD FOR MASKING EFFECT REMOVAL IN NOISE SYNTHETIC APERTURE RADAR
Dong, Xiao; Zhang, Yunhua; Zhai, Wenshuai; Dong, X (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.
Department微波遥感部
Source Publication2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
2016
Pages6811-6814
Language英语
ISSN2153-6996
ISBN978-1-5090-3332-4
AbstractIn this paper, we propose a sparse optimization method to suppress the masking effect of noise synthetic aperture radar (SAR) imaging. The transmitted noise waveforms have large fluctuations in the spectrum, which results in high-level sidelobes in the range direction. Weak targets can be masked by the sidelobes of strong targets when traditional matched filtering (MF) is applied. Inspired by the idea of compressed sensing (CS), we formulate the noise SAR imaging process as solving an inverse problem from incomplete random frequency measurements, and then reconstruct the noise SAR image using sparse optimization method. Experimental results on real airborne noise SAR data are presented to show the effectiveness of the proposed method.
KeywordCompressed Sensing Inverse Problem Masking Effect Noise Radar Sparse Optimization Synthetic Aperture Radar (Sar)
Conference Name36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Conference DateJUL 10-15, 2016
Conference PlaceBeijing, PEOPLES R CHINA
Indexed ByEI ; CPCI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/5759
Collection微波遥感部
Corresponding AuthorDong, X (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.
Recommended Citation
GB/T 7714
Dong, Xiao,Zhang, Yunhua,Zhai, Wenshuai,et al. A SPARSE OPTIMIZATION METHOD FOR MASKING EFFECT REMOVAL IN NOISE SYNTHETIC APERTURE RADAR[C],2016:6811-6814.
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