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Wideband mmWave Massive MIMO Channel Estimation and Localization
Chalmers University of Technology, Gothenburg, Sweden.ORCID iD: 0000-0003-0930-7001
Halmstad University, School of Information Technology. Chalmers University of Technology, Gothenburg, Sweden.ORCID iD: 0000-0003-0598-0178
Chalmers University of Technology, Gothenburg, Sweden.ORCID iD: 0000-0002-1298-6159
2023 (English)In: IEEE Wireless Communications Letters, ISSN 2162-2337, E-ISSN 2162-2345, Vol. 12, no 8, p. 1314-1318Article in journal (Refereed) Published
Abstract [en]

Spatial wideband effects are known to affect channel estimation and localization performance in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. Based on perturbation analysis, we show that the spatial wideband effect is in fact more pronounced than previously thought and could significantly degrade performance if not properly considered in the algorithm design, even at moderate bandwidths. We propose a novel channel estimation method based on multidimensional ESPRIT algorithms per subcarrier, combined with unsupervised learning for pairing across subcarriers, which shows significant performance gain over existing schemes under wideband conditions. © 2023 IEEE

Place, publisher, year, edition, pages
Piscataway: IEEE, 2023. Vol. 12, no 8, p. 1314-1318
Keywords [en]
Wideband effect, ESPRIT, wideband localization, mmWave MIMO
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:hh:diva-50409DOI: 10.1109/lwc.2023.3270160ISI: 001045291900004Scopus ID: 2-s2.0-85159724733OAI: oai:DiVA.org:hh-50409DiVA, id: diva2:1754612
Available from: 2023-05-04 Created: 2023-05-04 Last updated: 2023-11-22Bibliographically approved

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Jiang, Fan

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