Fast high-resolution imaging method for wide-band rotating targets

Abstract

To reduce the computation burden of inverse synthetic aperture radar on rotating targets imaging, a fast distributed simultaneous multiple orthogonal matching pursuit method is proposed in this study. In the proposed method, the distributed matching sparse representation model of the rotating targets is firstly established. Also then the total number of iterations is reduced by using multi-atom recognition strategy. Simultaneously, the computational complexity of each iteration is also reduced through QR decomposition. High-resolution image of the rotating targets can thus be obtained efficiently. Theoretical analysis and simulation results verify the effectiveness of the proposed method.

Keywords

• time-frequency analysis
• synthetic aperture radar
• computational complexity
• radar imaging
• iterative methods
• image resolution
• radar target recognition
• image matching
• image representation
• inverse synthetic aperture radar
• fast distributed simultaneous multiple orthogonal matching pursuit method
• distributed matching sparse representation model
• multiatom recognition strategy
• computational complexity
• high-resolution image
• fast high-resolution imaging method
• wide-band rotating targets
• rotating target imaging
• qr decomposition