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Optimal Least Squares Estimator and Precoder for Energy Beamforming Over IQ-Impaired Channels
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-3225-6495
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
2019 (English)In: IEEE Signal Processing Letters, ISSN 1070-9908, E-ISSN 1558-2361, Vol. 26, no 8, p. 1207-1211Article in journal (Refereed) Published
Abstract [en]

Usage of low-cost hardware in large antenna arrays and low-power wireless devices in Internet of Things (IoT) has led to the degradation of practical beamforming gains due to the underlying hardware impairments, such as in-phase and quadrature-phase imbalance (IQI). To address this timely concern, we present a new nontrivial closed-form expression for the globally optimal least squares estimator (LSE) for the IQI-influenced channel between a multiantenna transmitter and single-antenna IoT device. Thereafter, to maximize the realistic transmit beamforming gains, a novel precoder design is derived that accounts for the underlying IQI for maximizing received power in both single and multiuser settings. Finally, the simulation results, demonstrating a significant -8 dB improvement in the mean squared error of the proposed LSE over existing benchmarks, show that the optimal precoder designing is more critical than accurately estimating IQI-impaired channels. Also, the proposed jointly optimal LSE and beamformer outperforms the existing designs by providing 24% enhancement in mean signal power received under IQI.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2019. Vol. 26, no 8, p. 1207-1211
Keywords [en]
Antenna array; IQ imbalance; channel estimation
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-159126DOI: 10.1109/LSP.2019.2925533ISI: 000475351800004OAI: oai:DiVA.org:liu-159126DiVA, id: diva2:1339674
Note

Funding Agencies|ELLIIT, Sweden

Available from: 2019-07-30 Created: 2019-07-30 Last updated: 2019-07-30

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • vancouver
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  • Other style
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Language
  • de-DE
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Output format
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