Şenyuva, Rıfat VolkanAnarim, Emin2024-07-122024-07-122020978-1-7281-7206-42165-0608https://hdl.handle.net/20.500.12415/738828th Signal Processing and Communications Applications Conference (SIU) -- OCT 05-07, 2020 -- ELECTR NETWORKIn 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.trinfo:eu-repo/semantics/closedAccessMultidimensional Harmonic RetrievalFrequency EstimationSimultaneous Sparse ApproximationConference ObjectWOS:000653136100191N/A