@inproceedings{10c1d01c081e45eaa1d43f3f4ba14279,
title = "Near-Field ISAR Imaging Rotational Motion Estimation and Compensation used Compressive Sensing",
abstract = "Inverse Synthetic Aperture Radar Imaging (ISAR imaging) is a tool for obtaining a radar image of target. The increasing demand on high-resolution ISAR images causes ISAR imaging to become more sensitive to errors. For near-filed radar imaging the complexity of the rotational motion of target must be considered. In this paper, Orthogonal Matching Pursuit (OMP) algorithm is used to reconstruct the finer range profiles of several prominent points. Depend on these prominent points, we can extract the rotation motion and restore the instantaneous angle. Relying on the angles, we use filtered back projection (FBP) to reconstruct the ISAR image. Simulations and experimental result demonstrate a good performance of the proposed approach in terms of efficiency.",
keywords = "ISAR, compressive sensing, motion estimation",
author = "Wenyu Yu and Qinglin Wang and Ding Xu",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2nd International Conference on Electronic Information Engineering and Computer Technology, EIECT 2022 ; Conference date: 28-10-2022 Through 30-10-2022",
year = "2022",
doi = "10.1109/EIECT58010.2022.00041",
language = "英语",
series = "Proceedings - 2022 2nd International Conference on Electronic Information Engineering and Computer Technology, EIECT 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "183--187",
booktitle = "Proceedings - 2022 2nd International Conference on Electronic Information Engineering and Computer Technology, EIECT 2022",
address = "美国",
}