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.
作者部门	微波遥感部
会议录名称	2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
	2016
页码	6811-6814
语种	英语
ISSN号	2153-6996
ISBN号	978-1-5090-3332-4
摘要	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.
关键词	Compressed Sensing Inverse Problem Masking Effect Noise Radar Sparse Optimization Synthetic Aperture Radar (Sar)
会议名称	36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期	JUL 10-15, 2016
会议地点	Beijing, PEOPLES R CHINA
收录类别	EI ; CPCI
文献类型	会议论文
条目标识符	http://ir.nssc.ac.cn/handle/122/5759
专题	微波遥感部
通讯作者	Dong, X (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.
推荐引用方式 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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