Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

Sparse Chirp Stepped-frequency ISAR Super-resolution Imaging Method Based on 2D-FISTA Algorithm

Authors
Ming Zhou, Peng-Cheng Xu, Zhao-Hui He, Qing-Hua You
Corresponding Author
Ming Zhou
Available Online December 2016.
DOI
https://doi.org/10.2991/icwcsn-16.2017.1How to use a DOI?
Keywords
sparse chirp stepped-frequency signal; 2D-FISTA; compressive sensing; ISAR super-resolution imaging
Abstract
The traditional Sparse Chirp Stepped-frequency ISAR imaging method has the problem of low imaging quality and large computational complexity. In view of the above problems, this paper studies a sparse Chirp Stepped-frequency ISAR imaging method based on two-dimensional fast iterative shrinkage threshold algorithm (2D-FISTA). Firstly, the two-dimensional echo model of Sparse Chirp Stepped-frequency signal is constructed. Based on this model, two-dimensional fast iterative shrinkage threshold algorithm is used to reconstruct the imaging result. This method can be reconstructed in the matrix domain directly, which avoids the computation of the vector processing method, and avoids the problem of the image quality loss of the decoupling method. The simulation results show that the proposed method is effective and has better imaging performance.
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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.1How 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  - Ming Zhou
AU  - Peng-Cheng Xu
AU  - Zhao-Hui He
AU  - Qing-Hua You
PY  - 2016/12
DA  - 2016/12
TI  - Sparse Chirp Stepped-frequency ISAR Super-resolution Imaging Method Based on 2D-FISTA Algorithm
PB  - Atlantis Press
SP  - 1
EP  - 5
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.1
DO  - https://doi.org/10.2991/icwcsn-16.2017.1
ID  - Zhou2016/12
ER  -