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    Multigrid Based Sparse Recovery Method for Multidimensional Harmonic Retrieval
    (Ieee, 2020) Şenyuva, Rıfat Volkan; Anarim, Emin
    In this paper the application of a multigrid based sparse recovery method for multidimensional harmonic retrieval is investigated. Multidimensional modal estimation problem is formulated as a simultaneous sparse recovery problem for each dimension and then the signal parameters are estimated using a multigrid dictionary refinement scheme. Performance of the proposed method is compared against 2-D ESPRIT and Cramer-Rao lower bounds in numerical simulations.