Abstract
The electromagnetic (EM) vortex imaging method based on the distributed OAM radiation sources are studied, for the first time. The orthogonality of OAM eigenmodes enables that the reconstruction of targets with limited measurements. Firstly, the imaging model is derived and established. Subsequently, the sparse Bayesian learning (SBL) framework is introduced to reconstruct the target image. Simulations are conducted to validate the effectiveness of the proposed method and analyze the influences of the noise on the imaging performance. This work can work as a reference of the design of DAM-generation systems and advance the development of OAM's applications in radar imaging realms.
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