An Image Focusing Method for Sparsity-Driven Radar Imaging of Rotating Targets

An Image Focusing Method for Sparsity-Driven Radar Imaging of Rotating Targets

Blog Article

This paper presents a new image focusing algorithm for sparsity-driven radar imaging of rotating targets.In the general formulation of off-grid scatterers, the sparse reconstruction algorithms may result in blurred and low-contrast images due to dictionary mismatch.Motivated by the natural clustering of atoms in the sparsity-based reconstructed images, the proposed algorithm first partitions the atoms into Potato Mashers separate clusters, and then the true Frankincense off-grid scatterers associated with each cluster are estimated.Being a post-processing technique, the proposed algorithm is computationally simple, while at the same time being capable of producing a sharp and correct-contrast image, and attaining a scatterer parameter estimation performance close to the Cramér–Rao lower bound.Numerical simulations are presented to corroborate the effectiveness of the proposed algorithm.