TY - GEN
T1 - Enhanced Complex Local Mean Decomposition for Micro-Doppler Separation in ISAR Imaging
AU - Li, Hongzhi
AU - Wang, Yong
AU - Lu, Bo
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - In traditional inverse synthetic aperture radar (ISAR) imaging of targets with rotating parts, the rotational parts such as propellers produce micro-Doppler (m-D) effects. This phenomenon can influence the quality of the imaging result seriously, so we must search a method to separate the m-D signature from the rigid body parts. In this paper, a novel method based on enhanced complex local mean decomposition (ECLMD) is proposed. The results of signal and ISAR imaging simulation show that the proposed method is very effective.
AB - In traditional inverse synthetic aperture radar (ISAR) imaging of targets with rotating parts, the rotational parts such as propellers produce micro-Doppler (m-D) effects. This phenomenon can influence the quality of the imaging result seriously, so we must search a method to separate the m-D signature from the rigid body parts. In this paper, a novel method based on enhanced complex local mean decomposition (ECLMD) is proposed. The results of signal and ISAR imaging simulation show that the proposed method is very effective.
KW - enhanced complex local mean decomposition
KW - inverse synthetic aperture radar
KW - micro-Doppler
KW - radar imaging
UR - https://www.scopus.com/pages/publications/85083497534
U2 - 10.1109/APSAR46974.2019.9048565
DO - 10.1109/APSAR46974.2019.9048565
M3 - 会议稿件
AN - SCOPUS:85083497534
T3 - 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
BT - 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
Y2 - 26 November 2019 through 29 November 2019
ER -