Modulated-ISRJ rejection using online dictionary learning for synthetic aperture radar imagery  

作　　者：WEI Shaopeng ZHANG Lei LU Jingyue LIU Hongwei 

机构地区：[1]College of Oceanography and Space Informatics,China University of Petroleum(East China),Qingdao 266580,China [2]School of Electronics Engineering,Xidian University,Xi’an 710071,China [3]School of Electronics and Communication Engineering,Shenzhen Campus of Sun Yat-sen University,Guangzhou 518107,China [4]School of Computer Science and Technology,Xidian University,Xi’an 710071,China

出　　处：《Journal of Systems Engineering and Electronics》2024年第2期316-329,共14页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61771372,61771367,62101494);the National Outstanding Youth Science Fund Project(61525105);Shenzhen Science and Technology Program(KQTD20190929172704911);the Aeronautic al Science Foundation of China(2019200M1001)。

摘　　要：In electromagnetic countermeasures circumstances,synthetic aperture radar(SAR)imagery usually suffers from severe quality degradation from modulated interrupt sampling repeater jamming(MISRJ),which usually owes considerable coherence with the SAR transmission waveform together with periodical modulation patterns.This paper develops an MISRJ suppression algorithm for SAR imagery with online dictionary learning.In the algorithm,the jamming modulation temporal properties are exploited with extracting and sorting MISRJ slices using fast-time autocorrelation.Online dictionary learning is followed to separate real signals from jamming slices.Under the learned representation,time-varying MISRJs are suppressed effectively.Both simulated and real-measured SAR data are also used to confirm advantages in suppressing time-varying MISRJs over traditional methods.

关 键 词：synthetic aperture radar(SAR) modulated interrupt sampling jamming(MISRJ) online dictionary learning 

分 类 号：TN957.52[电子电信—信号与信息处理]