A novel cognitive ISAR imaging method with random stepped frequency chirp signal
A novel cognitive ISAR imaging method with random stepped frequency chirp signal作者机构：Institute of Telecommunication Engineering Air Force Engineering University (AFEU) Xi’an China
出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))
年 卷 期：2012年第55卷第8期
页 面：1910-1924页
核心收录：
学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 081105[工学-导航、制导与控制] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程]
基 金：supported by State Major Basic Research Development Program of China(Grant No.2010CB-731905)
主 题：ISAR imaging random stepped frequency chirp signal compressed sensing high resolution range profile cognitive approach
摘 要：The random stepped frequency chirp signal(RSFCS)has better performance in anti-jamming than that of conventional stepped frequency chirp signal(SFCS).In combination with the theory of compressing sensing(CS),a novel ISAR imaging method is proposed based on RSFCS,in which the high resolution range profile(HRRP)is reconstructed by using the conventional OMP algorithm,whereas the cognitive approach is introduced to further reduce the number of sub-pulse in *** the proposed method,via cognizing the characteristics of moving targets,the number of sub-pulse in each burst can be adjusted ***,in the cross-range direction,the accurate reconstruction of ISAR image by using CS theory is implemented,which can effectively accomplish *** the proposed method,high quality HRRP and ISAR image can be achieved with fewer sub-pulses of RSFCS and lower burst repetition frequency(BRF).Some simulation results are given to validate the effectiveness and robustness of the proposed algorithm.
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