TY - GEN
T1 - An Improved RD Imaging Method for SAR on Geosynchronous Orbit
AU - Wang, Zhuoqun
AU - Li, Yajun
AU - Li, Canle
AU - Li, Hongzhi
AU - Li, Shuangshuang
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/28
Y1 - 2018/11/28
N2 - Synthetic aperture radar on geosynchronous earth orbit (GEOSAR) has the significant potential advantages over the Low Earth Orbit SAR, such as the short revisit period and the large coverage area. However, the key problems in GEOSAR imaging process are curve trajectory, path delay and atmospheric delay, all of that will result in the defocusing with the classical imaging algorithm. Hence, we firstly deduce the expression of the slant range with the curve traj ectory for the elliptic orbital movement of GEOSAR, and further modify this equation due to the issues of the path delay and atmospheric delay. And then, an improved RD algorithm based on the above slant range model is proposed in this paper. Finally, the imaging simulations for the point targets are implemented nearby the minimum velocity and the maximum velocity of GEOSAR. And the imaging results further demonstrate the effects of the curve traj ectory and total delay, and show the correctness and effectiveness of the new imaging technique.
AB - Synthetic aperture radar on geosynchronous earth orbit (GEOSAR) has the significant potential advantages over the Low Earth Orbit SAR, such as the short revisit period and the large coverage area. However, the key problems in GEOSAR imaging process are curve trajectory, path delay and atmospheric delay, all of that will result in the defocusing with the classical imaging algorithm. Hence, we firstly deduce the expression of the slant range with the curve traj ectory for the elliptic orbital movement of GEOSAR, and further modify this equation due to the issues of the path delay and atmospheric delay. And then, an improved RD algorithm based on the above slant range model is proposed in this paper. Finally, the imaging simulations for the point targets are implemented nearby the minimum velocity and the maximum velocity of GEOSAR. And the imaging results further demonstrate the effects of the curve traj ectory and total delay, and show the correctness and effectiveness of the new imaging technique.
KW - GEOSAR
KW - atmospheric delay
KW - curve trajectory
KW - improved RD algorithm
KW - path delay
UR - https://www.scopus.com/pages/publications/85060016907
U2 - 10.1109/SARS.2018.8551990
DO - 10.1109/SARS.2018.8551990
M3 - 会议稿件
AN - SCOPUS:85060016907
T3 - 2018 China International SAR Symposium, CISS 2018 - Proceedings
BT - 2018 China International SAR Symposium, CISS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 China International SAR Symposium, CISS 2018
Y2 - 10 October 2018 through 12 October 2018
ER -