NEAT-MUSIC: Auto-Calibration of DOA Estimation for Terahertz-Band Massive MIMO Systems

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dc.authoridElbir, Ahmet M./0000-0003-4060-3781en_US
dc.authoridEltawil, Ahmed/0000-0003-1849-083Xen_US
dc.authorscopusid55362509900en_US
dc.authorscopusid56542749700en_US
dc.authorscopusid55939256800en_US
dc.authorwosidElbir, Ahmet M./X-3731-2019en_US
dc.authorwosidEltawil, Ahmed/B-1109-2008en_US
dc.contributor.authorElbir, Ahmet M.
dc.contributor.authorCelik, Abdulkadir
dc.contributor.authorEltawil, Ahmed M.
dc.date.accessioned2024-08-23T16:04:16Z
dc.date.available2024-08-23T16:04:16Z
dc.date.issued2024en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractTerahertz (THz) band is envisioned for the future sixth generation wireless systems thanks to its abundant bandwidth and very narrow beamwidth. These features are one of the key enabling factors for high resolution sensing with milli-degree level direction-of-arrival (DOA) estimation. Therefore, this letter investigates the DOA estimation problem in THz systems in the presence of two major error sources: 1) gain-phase mismatches, which occur due to the deviations in the radio-frequency circuitry; 2) beam-squint, which is caused because of the deviations in the generated beams at different subcarriers due to ultra-wide bandwidth. An auto-calibration approach, namely NoisE subspAce correcTion technique for MUltiple SIgnal Classification (NEAT-MUSIC), is proposed based on the correction of the noise subspace for accurate DOA estimation in the presence of gain-phase mismatches and beam-squint. To gauge the performance of the proposed approach, the Cramer-Rao bounds are also derived. Numerical results show the effectiveness of the proposed approach.en_US
dc.identifier.doi10.1109/LWC.2023.3331945
dc.identifier.endpage455en_US
dc.identifier.issn2162-2337
dc.identifier.issn2162-2345
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85177091709en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage451en_US
dc.identifier.urihttps://doi.org/10.1109/LWC.2023.3331945
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14143
dc.identifier.volume13en_US
dc.identifier.wosWOS:001167560000035en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Wireless Communications Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectRadio frequencyen_US
dc.subjectDirection-of-arrival estimationen_US
dc.subjectEstimationen_US
dc.subjectMultiple signal classificationen_US
dc.subjectSensorsen_US
dc.subjectPhase shiftersen_US
dc.subjectCalibrationen_US
dc.subjectArray calibrationen_US
dc.subjectbeam-squinten_US
dc.subjectDOA estimationen_US
dc.subjectgain-phase mismatchen_US
dc.subjectTerahertzen_US
dc.subjectTrackingen_US
dc.subjectGainen_US
dc.titleNEAT-MUSIC: Auto-Calibration of DOA Estimation for Terahertz-Band Massive MIMO Systemsen_US
dc.typeArticleen_US

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