TY - GEN
T1 - An ISAR Imaging Algorithm Based on RCA for Micro-Doppler Effect Suppression
AU - Xu, Xinbo
AU - Jin, Xinfei
AU - Su, Fulin
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - In Inverse Synthetic Aperture Radar (ISAR) imaging, the micro-Doppler (m-D) effect caused by micro-motion parts of the target will not only make parameter extraction and motion compensation difficult but also cause image defocusing. It will appear as azimuth interference sidebands and decrease image quality seriously. Therefore, studying the micro-Doppler suppression problem in practical applications is of great importance in high-quality imaging of ISAR. In this paper, a reasonable and effective mathematical model is established, and the m-D suppression algorithm inspired by the robust principal component analysis (RPCA) matrix reconstruction theory is proposed. Our algorithm transforms the problem of separating radar echoes into the decomposition of a low rank rotating components m-D signal matrix and a sparse main body ISAR image signal matrix. Moreover, experimental results based on simulated and real measured data are utilized to verify the effectiveness of our method.
AB - In Inverse Synthetic Aperture Radar (ISAR) imaging, the micro-Doppler (m-D) effect caused by micro-motion parts of the target will not only make parameter extraction and motion compensation difficult but also cause image defocusing. It will appear as azimuth interference sidebands and decrease image quality seriously. Therefore, studying the micro-Doppler suppression problem in practical applications is of great importance in high-quality imaging of ISAR. In this paper, a reasonable and effective mathematical model is established, and the m-D suppression algorithm inspired by the robust principal component analysis (RPCA) matrix reconstruction theory is proposed. Our algorithm transforms the problem of separating radar echoes into the decomposition of a low rank rotating components m-D signal matrix and a sparse main body ISAR image signal matrix. Moreover, experimental results based on simulated and real measured data are utilized to verify the effectiveness of our method.
KW - Inverse synthesis aperture Radar (ISAR)
KW - microDoppler (m-D) effect suppression
KW - robust principal component analysis (RPCA)
UR - https://www.scopus.com/pages/publications/85082386559
U2 - 10.1109/SiPS47522.2019.9020383
DO - 10.1109/SiPS47522.2019.9020383
M3 - 会议稿件
AN - SCOPUS:85082386559
T3 - IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
SP - 25
EP - 30
BT - 2019 IEEE International Workshop on Signal Processing Systems, SiPS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd IEEE International Workshop on Signal Processing Systems, SiPS 2019
Y2 - 20 October 2019 through 23 October 2019
ER -