SAR Imaging Based on Compressive Sensing via Fractional Fourier Transform

DOI

10.2991/mmebc-16.2016.220How to use a DOI?

Keywords

CS; FRFT; SAR imaging.

Abstract

To reduce the amount of measurements, compressive sensing (CS) has been introduced to synthetic aperture radar (SAR). In this paper a novel synthetic aperture radar (SAR) imaging algorithm based on compressive sensing (CS) is proposed. In the range plane, the echo signal is reconstructed in fractional Fourier domain for the sparsity, and matched filtering is used in the azimuth to obtain the image. Taking into account the large peak signal to noise ratio (PSNR), raising compression ratio can enhance the resolution, improve the range ambiguity and possess benign focusing ability. Simulation results show that by using the method this paper proposed it outperforms the existing Range Doppler algorithm demonstrating the superior performance of the proposed approach.

Copyright

© 2016, 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  - Xiaolong Li
AU  - Yunqing Liu
AU  - Shuang Zhao
AU  - Wei Chu
PY  - 2016/06
DA  - 2016/06
TI  - SAR Imaging Based on Compressive Sensing via Fractional Fourier Transform
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 1058
EP  - 1064
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.220
DO  - 10.2991/mmebc-16.2016.220
ID  - Li2016/06
ER  -