Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

The Research of SAR Imaging Based on Co-Prime Arrays Sampling

Authors
Bing Han, Pengbo Wang, Yue Fang, Jincheng Li, Zhirong Men
Corresponding Author
Bing Han
Available Online June 2017.
DOI
https://doi.org/10.2991/ammee-17.2017.54How to use a DOI?
Keywords
synthetic aperture radar (SAR), imaging algorithm, co-prime arrays, sparse sampling, compressive sensing (CS)
Abstract
High resolution wide Swath (HRWS) is one of the major development directions of synthetic aperture radar (SAR). However, the high resolution in azimuth direction and the wide range swath impose contradicting requirements on system design, and the conventional SAR systems cannot meet these rising demands. The compressive sensing (CS) theory put forward in recent years provides a way to resolve the contradiction. In the CS framework, the signal can be reconstructed with a sampling rate below the Nyquist frequency, which means that signal can be acquired and processed at a lower rate. This paper provides a sparse sampling method based on the co-prime arrays. The sparse co-prime array is utilized to reduce the echo signal sampling requirement, which can provide more signal sampling space. As a result, high resolution and wide swath can be realized simultaneously. Simulations are performed to validate the presented algorithm.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-350-0
DOI
https://doi.org/10.2991/ammee-17.2017.54How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Bing Han
AU  - Pengbo Wang
AU  - Yue Fang
AU  - Jincheng Li
AU  - Zhirong Men
PY  - 2017/06
DA  - 2017/06
TI  - The Research of SAR Imaging Based on Co-Prime Arrays Sampling
BT  - Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/ammee-17.2017.54
DO  - https://doi.org/10.2991/ammee-17.2017.54
ID  - Han2017/06
ER  -