@inproceedings{c92ec133a19f496890fb262a0dd6d13a,
title = "An effective ISAR autofocus algorithm based on single eigenvector",
abstract = "Phase autofocus is a key step of translational motion compensation (TMC) in inverse synthetic aperture radar (ISAR). In this paper, an effective phase autofocus algorithm for ISAR is proposed based on single eigenvector. Samplings in multiple range bins are used to construct the covariance matrix and obtain the eigenvector corresponding to the largest eigenvalue. It is found that this eigenvector can act as the phase compensation vector for ISAR autofocus. Compared to the conventional methods, the proposed algorithm can obtain a better focused image especially in a low SNR case, as long as there is a relatively prominent scatterer in the target. Finally, experimental results based on real measured data are provided to demonstrate the effectiveness of the proposed method.",
keywords = "Inverse synthetic aperture radar (ISAR), Low SNR, Phase autofocus, Single eigenvector, Translational motion compensation (TMC)",
author = "Cai, \{Jin Jian\} and Jia Xu and Guan Wang and Xia, \{Xiang Gen\} and Teng Long and Bian, \{Ming Ming\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 CIE International Conference on Radar, RADAR 2016 ; Conference date: 10-10-2016 Through 13-10-2016",
year = "2017",
month = oct,
day = "4",
doi = "10.1109/RADAR.2016.8059503",
language = "English",
series = "2016 CIE International Conference on Radar, RADAR 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 CIE International Conference on Radar, RADAR 2016",
address = "United States",
}