@inproceedings{b38c68fec1ce4bbc995aaea1907c1cbd,
title = "Resolution analysis based on distinguishable ellipse in squinted SAR under maneuvering flight",
abstract = "Geometric configuration of imaging varies significantly over time in squinted synthetic aperture radar (SAR) when platform is under maneuvering flight. The classic resolution analysis in the traditional SAR is not suitable in this case. In order to illustrate a general description of the resolution characteristics of the system, a method of resolution analysis based on distinguishable ellipse in squinted SAR under different geometric configurations is presented. In addition, two options for finding the optimal synthetic aperture of target identification by estimating resolution are proposed. The simulation results show that this method is adaptive to conditions of different flight parameters and geometric configurations in squinted SAR under maneuvering flight.",
keywords = "SAR, maneuvering flight, resolution analysis",
author = "Jing Gao and Feng Li and Zhixun Ma and Zhen Wang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 ; Conference date: 05-08-2016 Through 08-08-2016",
year = "2016",
month = nov,
day = "22",
doi = "10.1109/ICSPCC.2016.7753659",
language = "English",
series = "ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings",
address = "United States",
}