Amplitude and Phase Estimation for Absolute Calibration of Massive MIMO Front-Ends

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Massive multiple-input multiple-output (MIMO) promises significantly higher performance relative to conventional multiuser systems. However, the promised gains of massive MIMO systems rely heavily on the accuracy of the absolute front-end calibration, as well as quality of channel estimates at the base station (BS). In this paper, we analyze user equipment-aided calibration mechanism to estimate the amplitude scaling and phase drift at each radio-frequency chain interfacing with the BS array. Assuming a uniform linear array at the BS and Ricean fading, we obtain the estimation parameters with moment-based (amplitude, phase) and maximum-likelihood (phase-only) estimation techniques. In stark contrast to previous works, we mathematically articulate the equivalence of the two approaches for phase estimation. Furthermore, we rigorously derive a Cramer-Rao lower bound to characterize the accuracy of the two estimators. Via numerical simulations, we evaluate the estimator performance with varying dominant line-of-sight powers, dominant angles-of-arrival, and signal-to-noise ratios.
Titel på värdpublikationICC 2020 - 2020 IEEE International Conference on Communications (ICC)
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Antal sidor7
ISBN (elektroniskt)978-1-7281-5089-5
StatusPublished - 2020
EvenemangIEEE International Conference on Communications (ICC) 2020 - Convention Centre Dublin, Dublin, Irland
Varaktighet: 2020 feb. 72020 feb. 11


KonferensIEEE International Conference on Communications (ICC) 2020
Förkortad titelICC 2020

Bibliografisk information

Accepted in the Proceedings of IEEE ICC 2020, Dublin

Ämnesklassifikation (UKÄ)

  • Kommunikationssystem
  • Signalbehandling


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