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The vortex electromagnetic (EM) wave carrying orbital angular momentum (OAM) has been found great potential to improve radar imaging performance. However, to achieve high-resolution image, a large number of OAM modes should be applied in the existing EM vortex imaging methods, which seriously limits the improvement of resolution in practice. The orthogonality of OAM eigenmodes enables the reconstruction...
Radar coincidence imaging (RCI) is a novel staring imaging technique, and sparse reconstruction algorithms are generally applied to realize super-resolution RCI by exploiting the sparsity of target. However, the computation cost is high especially under the case of large scale scene or denser grids. Herein, a fast RCI approach based on fast Fourier transform and sparse Bayesian learning (FFT-SBL)...
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