A SPARSE OPTIMIZATION METHOD FOR MASKING EFFECT REMOVAL IN NOISE SYNTHETIC APERTURE RADAR | |
Dong, Xiao; Zhang, Yunhua![]() | |
Department | 微波遥感部 |
Source Publication | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
2016 | |
Pages | 6811-6814 |
Language | 英语 |
ISSN | 2153-6996 |
ISBN | 978-1-5090-3332-4 |
Abstract | In 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. |
Keyword | Compressed Sensing Inverse Problem Masking Effect Noise Radar Sparse Optimization Synthetic Aperture Radar (Sar) |
Conference Name | 36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
Conference Date | JUL 10-15, 2016 |
Conference Place | Beijing, PEOPLES R CHINA |
Indexed By | EI ; CPCI |
Document Type | 会议论文 |
Identifier | http://ir.nssc.ac.cn/handle/122/5759 |
Collection | 微波遥感部 |
Corresponding Author | Dong, 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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201607730778.pdf(513KB) | 会议论文 | 开放获取 | CC BY-NC-SA | View Download |
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