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- Title
2D single snapshot imaging using MIMO radar based on SR.
- Authors
Chunhui Chen; Qun Zhang; Fufei Gu; Ying Luo
- Abstract
To overcome the disadvantages of the required motion compensation in the traditional inverse synthetic aperture radar imaging of moving targets, a 2D single snapshot imaging method using a MIMO radar based on the sparse representation (SR) is proposed. It can simultaneously recover a real-time 2D image and avoid motion compensation. By exploiting the sparsity and data structure of the echo signals, a 2D SR model is established. The SR problem is solved based on the compressed sensing theory and the 2D smoothed L0 algorithm. Finally, the 2D image of the target can be reconstructed at low signal-to-noise ratio and high compressed ratio, which is advantageous for target recognition and classification. Compared with the existing 1D methods, the proposed method can directly recover 2D images and has lower computational complexity. Simulations are performed to verify the effectiveness of the method.
- Subjects
MOTION compensation (Signal processing); SYNTHETIC aperture radar; IMAGING systems; DATA structures; SIGNAL-to-noise ratio
- Publication
Electronics Letters (Wiley-Blackwell), 2016, Vol 52, Issue 23, p1946
- ISSN
0013-5194
- Publication type
Article
- DOI
10.1049/el.2016.3076