@inproceedings{d4391165cd874488bf413c71b2de884a,
title = "Radial accelerated velocity estimation for moving ship target imaging based on GRFT in geosynchronous SAR",
abstract = "GEO SAR has great potential in marine surveillance. But the extremely low SNR of echo, resulting in the traditional signal integration method become invalid. This paper proposes an improved GRFT-based approach to realize the moving ship targets' radial accelerated velocity estimation. Firstly, the accurate slant range is constructed which has considered the curved synthetic aperture trajectory. Then, the GRFT-based estimation method is redefined to realize radial accelerated velocity estimation and imaging. Finally, the simulation results are given to verify the proposed methods.",
keywords = "GEO SAR, GRFT, Moving ship target imaging, Radial accelerated velocity estimation",
author = "Ying Zhang and Wei Xiong and Xichao Dong and Cheng Hu and Chengxiang Liu and Yang Sun",
note = "Publisher Copyright: {\textcopyright} 2019 Applied Computational Electromagnetics Society.; 2019 International Applied Computational Electromagnetics Society Symposium-China, ACES 2019 ; Conference date: 08-08-2019 Through 11-08-2019",
year = "2019",
month = aug,
doi = "10.23919/ACES48530.2019.9060533",
language = "English",
series = "2019 International Applied Computational Electromagnetics Society Symposium-China, ACES 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 International Applied Computational Electromagnetics Society Symposium-China, ACES 2019",
address = "United States",
}
