A high resolution ISAR imaging method base on image fusion with low SNR
A high resolution ISAR imaging method base on image fusion with low SNR
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- Author(s): M. Lv 1 ; F. Xu 1 ; J. Ma 1 ; L. Chen 1 ; H. Chen 1
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View affiliations
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Affiliations:
1:
Radar NCO School of Air Force Early Warning Academy , Wuhan , People’s Republic of China
Source:
IET International Radar Conference (IET IRC 2020),
2021
p.
1308 – 1312
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Affiliations:
1:
Radar NCO School of Air Force Early Warning Academy , Wuhan , People’s Republic of China
- Conference: IET International Radar Conference (IET IRC 2020)
- DOI: 10.1049/icp.2021.0659
- ISBN: 978-1-83953-540-6
- Location: Online Conference
- Conference date: 04-06 November 2020
- Format: PDF
In order to achieve high resolution ISAR imaging by launching random chirp frequency stepped signal with sparse range and cross range under low SNR, a high resolution ISAR imaging method based on image fusion is proposed in this paper. Firstly, the ISAR image with high range resolution under low SNR, in which the range imaging is realized in view of joint sparse model and the cross range imaging is realized based on traditional compressed sensing model, is obtained. Secondly, the ISAR image with high cross range resolution under low SNR, in which the cross range imaging is realized in view of joint sparse model and the range imaging is realized based on traditional compressed sensing model, is received. Finally, the two ISAR images with higher range resolution and cross range resolution respectively are directly fused, then the final high resolution ISAR imaging results are required. Due to the same data and observation target, the ISAR imaging results via different imaging methods can be directly fused without image rotation or correction and other processing. Therefore, the proposed method not only can achieve high resolution imaging under low SNR, but also has the advantages of simple realization. The effectiveness of this method is verified by the simulation experiments.
Inspec keywords: synthetic aperture radar; image resolution; image fusion; radar imaging; radar resolution; compressed sensing
Subjects: Radar equipment, systems and applications; Radar theory; Image and video coding