@inproceedings{d9c0017aee844ebf80461d1be8c598d5,
title = "2D ISAR imaging using SFFT",
abstract = "Based on the characteristics of radar signal and the algorithms{\textquoteright} applicability and performance of different algorithms, this paper selects scientifically the most suitable option for radar imaging among these four sparse fast Fourier transform (SFFT) algorithms for 2D ISAR imaging; evaluates each algorithm{\textquoteright}s accuracy through simulation; and applies SFFT to inverse synthetic aperture radar (ISAR) imaging program for the stepped frequency radar. Through an experiment, author studies SFFT{\textquoteright}s imaging efficiency and gets a conclusion that SFFT is able to reduce the run time into half at a low loss of image quality.",
keywords = "ISAR, Inverse synthetic aperture radar (ISAR), Radar imaging, Sparse fast Fourier transform (SFFT), Stepped frequency radar",
author = "Yu Qian and Tao Hong",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; International Conference on Intelligent Computing, Communication and Devices, ICCD 2017 ; Conference date: 09-12-2017 Through 10-12-2017",
year = "2019",
doi = "10.1007/978-981-10-8944-2\_74",
language = "英语",
isbn = "9789811089435",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "643--650",
editor = "Srikanta Patnaik and Vipul Jain",
booktitle = "Recent Developments in Intelligent Computing, Communication and Devices - Proceedings of ICCD 2017",
address = "德国",
}