Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/11555
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kosasih, A. | - |
dc.contributor.author | Demir, O.T. | - |
dc.contributor.author | Bjornson, E. | - |
dc.date.accessioned | 2024-05-18T16:08:03Z | - |
dc.date.available | 2024-05-18T16:08:03Z | - |
dc.date.issued | 2023 | - |
dc.identifier.isbn | 9798350325744 | - |
dc.identifier.issn | 1058-6393 | - |
dc.identifier.uri | https://doi.org/10.1109/IEEECONF59524.2023.10476971 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/11555 | - |
dc.description | 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023 -- 29 October 2023 through 1 November 2023 - 198545 | en_US |
dc.description.abstract | Accurate channel estimation is critical to fully ex-ploit the beamforming gains when communicating with extremely large aperture arrays. The propagation distances between the user and receiver, which potentially has thousands of anten-nas/elements, are such that they are located in the radiative near-field region of each other when considering the Fraunhofer distance of the entire array. Therefore, it is imperative to consider near-field effects to achieve proper channel estimation. This paper proposes a parametric multi-user near-field channel estimation algorithm based on MUltiple SIgnal Classification (MUSIC) method to obtain the essential parameters describing the users' locations. We derive the estimated channel by incorporating the estimated parameters into the near-field channel model. Additionally, we implement a least-squares-based estimation corrector, resulting in a precise near-field channel estimation. Simulation results demonstrate that our proposed scheme outperforms classical least-squares and minimum mean-square error channel estimation methods in terms of normalized beamforming gain and normalized mean-square error. © 2023 IEEE. | en_US |
dc.description.sponsorship | Vetenskapsrådet, VR | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE Computer Society | en_US |
dc.relation.ispartof | Conference Record - Asilomar Conference on Signals, Systems and Computers | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | active arrays | en_US |
dc.subject | channel estimation | en_US |
dc.subject | finite-depth beamforming | en_US |
dc.subject | MUSIC | en_US |
dc.subject | Radiative near-field | en_US |
dc.title | Parametric Near-Field Channel Estimation for Extremely Large Aperture Arrays | en_US |
dc.type | Conference Object | en_US |
dc.department | TOBB ETÜ | en_US |
dc.identifier.startpage | 162 | en_US |
dc.identifier.endpage | 166 | en_US |
dc.identifier.wos | WOS:001207755100029 | en_US |
dc.identifier.scopus | 2-s2.0-85190359261 | en_US |
dc.institutionauthor | Demir, O.T. | - |
dc.identifier.doi | 10.1109/IEEECONF59524.2023.10476971 | - |
dc.authorscopusid | 57202575500 | - |
dc.authorscopusid | 55807906700 | - |
dc.authorscopusid | 24478602800 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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