Open Access2D single snapshot imaging using MIMO radar based on SR
Author(s) -
Chen Chunhui,
Zhang Qun,
Gu Fufei,
Luo Ying
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2016.3076
Subject(s) - snapshot (computer storage) , mimo , radar imaging , computer science , radar , remote sensing , geology , telecommunications , beamforming , operating system
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.