Narrow-Band Interference Mitigation for SAR Using Independent Subspace Analysis

被引：55
|
作者：
Tao, Mingliang [1 ]
Zhou, Feng [1 ]
Liu, Jianqiang [1 ]
Liu, Yan [1 ]
Zhang, Zijing [1 ]
Bao, Zheng [1 ]
机构：
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China
来源：
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2014年 / 52卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Independent component analysis (ICA); independent subspace analysis (ISA); narrow-band interference (NBI); single-channel separation; synthetic aperture radar (SAR); RFI SUPPRESSION;
D O I：
10.1109/TGRS.2013.2287900
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
The mitigation of narrow-band interference (NBI) is an appealing topic in the synthetic aperture radar (SAR) community. It is an underdetermined single-channel separation problem. This paper proposes a method for NBI mitigation using the independent subspace analysis. First, each single pulse is transformed onto a manifold time-frequency distribution by the short-time Fourier transform (STFT). Then, the singular value analysis is carried out to extract the prominent features corresponding to the NBIs. Next, independent component analysis is employed to obtain statistically independent basis components. Furthermore, the independent subspaces corresponding to NBI are reconstructed and subtracted from the raw signal space. The signal with NBI mitigated is resynthesized by inverse STFT. Finally, after processing all the pulses, a well-focused SAR imagery is obtained by a conventional imaging algorithm. Experimental results of simulated and measured data have demonstrated the effectiveness of the proposed method.
引用
收藏
页码：5289 / 5301
页数：13
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