Maximum Entropy-Based Interference-Plus-Noise Covariance Matrix Reconstruction for Robust Adaptive Beamforming

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dc.contributor.authorMohammadzadeh, Saeed
dc.contributor.authorNascimento, Vitor H.
dc.contributor.authorde Lamare, Rodrigo C.
dc.contributor.authorKukrer, Osman
dc.date.accessioned2026-02-06T18:49:43Z
dc.date.issued2020
dc.departmentDoğu Akdeniz Üniversitesi
dc.description.abstractTo ensure signal receiving quality, robust adaptive beamforming (RAB) is of vital importance in modern communications. In this letter, we propose a new low-complexity RAB approach based on interference-plus-noise covariance matrix (IPNC) reconstruction and steering vector (SV) estimation. In this method, the IPNC and desired signal covariance matrices are reconstructed by estimating all interference powers as well as the desired signal power using the principle of maximum entropy power spectrum (MEPS). Numerical simulations demonstrate that the proposed method can provide superior performance to several previously proposed beamformers.
dc.description.sponsorshipSao Paulo Research Foundation (FAPESP) through the ELIOT project [2018/12579-7, 2019/19387-9]; Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [19/19387-9, 18/12579-7] Funding Source: FAPESP
dc.description.sponsorshipThis work was supported in part by the Sao Paulo Research Foundation (FAPESP) through the ELIOT project under Grant 2018/12579-7 and Grant 2019/19387-9. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Guang Hua.
dc.identifier.doi10.1109/LSP.2020.2994527
dc.identifier.endpage849
dc.identifier.issn1070-9908
dc.identifier.issn1558-2361
dc.identifier.orcid0000-0002-8793-2577
dc.identifier.orcid0000-0003-2322-6451
dc.identifier.scopus2-s2.0-85086717561
dc.identifier.scopusqualityQ1
dc.identifier.startpage845
dc.identifier.urihttps://doi.org/10.1109/LSP.2020.2994527
dc.identifier.urihttps://hdl.handle.net/11129/15028
dc.identifier.volume27
dc.identifier.wosWOS:000542924300002
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Signal Processing Letters
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.subjectCovariance matrices
dc.subjectEstimation
dc.subjectInterference
dc.subjectEntropy
dc.subjectCorrelation
dc.subjectArray signal processing
dc.subjectRobustness
dc.subjectCovariance matrix reconstruction
dc.subjectmaximum entropy method
dc.subjectrobust adaptive beamforming
dc.subjectspatial power spectrum
dc.titleMaximum Entropy-Based Interference-Plus-Noise Covariance Matrix Reconstruction for Robust Adaptive Beamforming
dc.typeArticle

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