A SPARSE OPTIMIZATION METHOD FOR MASKING EFFECT REMOVAL IN NOISE SYNTHETIC APERTURE RADAR

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 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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