TY - GEN
T1 - A novel SAR imaging method based on electromagnetic vortex with orbital-angular-momentum
AU - Fang, Yue
AU - Chen, Jie
AU - Wang, Pengbo
AU - Li, Wei
AU - Men, Zhirong
AU - Ma, Baobin
AU - Han, Bing
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - Recently, electromagnetic (EM) vortex with orbital angular momentum (OAM) attracts more attention in radar imaging fields, which needs a variety of OAM modes. However, most of them are based on motion relative static. In this paper, we propose a novel SAR imaging method based on electromagnetic vortex with OAM. The geometry model of synthetic aperture radar (SAR) is utilized for EM vortex with OAM and the echo signal model is deduced correspondingly, including the additional phase items produced by EM vortex waves. Then the imaging algorithm aiming at OAM based on Chirp-Scaling algorithm is proposed. Simulation results validate the effectiveness of the proposed method and that OAM beams can be applied in SAR signal processing.
AB - Recently, electromagnetic (EM) vortex with orbital angular momentum (OAM) attracts more attention in radar imaging fields, which needs a variety of OAM modes. However, most of them are based on motion relative static. In this paper, we propose a novel SAR imaging method based on electromagnetic vortex with OAM. The geometry model of synthetic aperture radar (SAR) is utilized for EM vortex with OAM and the echo signal model is deduced correspondingly, including the additional phase items produced by EM vortex waves. Then the imaging algorithm aiming at OAM based on Chirp-Scaling algorithm is proposed. Simulation results validate the effectiveness of the proposed method and that OAM beams can be applied in SAR signal processing.
KW - Chirp-Scaling (CS) algorithm
KW - Orbital angular momentum (OAM)
KW - electromagnetic (EM) vortex
KW - synthetic aperture radar (SAR)
UR - https://www.scopus.com/pages/publications/85041834981
U2 - 10.1109/IGARSS.2017.8127287
DO - 10.1109/IGARSS.2017.8127287
M3 - 会议稿件
AN - SCOPUS:85041834981
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1638
EP - 1641
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 -