SFFT based ISAR Imaging

DOI

10.2991/eeeis-16.2017.5How to use a DOI?

Keywords

Sparse Fast Fourier Transform(SFFT); Radar Imaging; ISAR; Inverse Synthetic Aperture Radar(ISAR);Stepped frequency radar.

Abstract

Basing on the characteristics of radar signal and the algorithms' 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: SFFTv1,SFFTv2, SFFTv3 and PS; Evaluates each algorithm's accuracy through simulation; Applies SFFT to Inverse Synthetic Aperture Radar(ISAR) imaging program for the stepped frequency radar; Through an experiment, author studies SFFT'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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yu-Zhou Gong
AU  - Hong Tao
PY  - 2016/12
DA  - 2016/12
TI  - SFFT based ISAR Imaging
BT  - Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
PB  - Atlantis Press
SP  - 35
EP  - 42
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-16.2017.5
DO  - 10.2991/eeeis-16.2017.5
ID  - Gong2016/12
ER  -