TY - GEN
T1 - RPCA based time-frequency signal separation algorithm for narrow-band interference suppression
AU - Su, Jia
AU - Tao, Mingliang
AU - Wang, Ling
AU - Xie, Jian
AU - Yang, Xin
AU - Zhang, Wei
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - Narrow-band interference (NBI) is a common jamming signal against synthetic aperture radar (SAR), in which the imaging quality can be degraded severely. To suppress NBI effectively, a novel interference suppression algorithm using robust principal component analysis (RPCA) based time-frequency signal separation is proposed. The RPCA algorithm is introduced for time-frequency signal separation for the first time. The experimental results of simulated and measured data demonstrate that the proposed algorithm not only can suppress interference effectively, but also preserve the useful information as much as possible.
AB - Narrow-band interference (NBI) is a common jamming signal against synthetic aperture radar (SAR), in which the imaging quality can be degraded severely. To suppress NBI effectively, a novel interference suppression algorithm using robust principal component analysis (RPCA) based time-frequency signal separation is proposed. The RPCA algorithm is introduced for time-frequency signal separation for the first time. The experimental results of simulated and measured data demonstrate that the proposed algorithm not only can suppress interference effectively, but also preserve the useful information as much as possible.
KW - interference suppression
KW - robust principal component analysis
KW - synthetic aperture radar
KW - time-frequency signal separation
UR - https://www.scopus.com/pages/publications/85041858446
U2 - 10.1109/IGARSS.2017.8127651
DO - 10.1109/IGARSS.2017.8127651
M3 - 会议稿件
AN - SCOPUS:85041858446
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3086
EP - 3089
BT - 2017 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Y2 - 23 July 2017 through 28 July 2017
ER -