Amplitude and Phase Estimation for Absolute Calibration of Massive MIMO Front-Ends
Tian, Guoda LU ; Tataria, Harsh LU and Tufvesson, Fredrik LU
(2020)
IEEE International Conference on Communications (ICC) 2020
- Abstract
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/e1d04dab-3cf0-422f-aac4-e65808ca0ad1
- author
- Tian, Guoda
LU
; Tataria, Harsh
LU
and Tufvesson, Fredrik
LU
- organization
- publishing date
- 2020
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Massive MIMO Systems, Absolute Calibration, Parameter Estimation, Cramer-Rao Lower Bound
- host publication
- ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
- pages
- 7 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- IEEE International Conference on Communications (ICC) 2020
- conference location
- Dublin, Ireland
- conference dates
- 2020-02-07 - 2020-02-11
- external identifiers
-
- scopus:85089439164
- ISBN
- 978-1-7281-5089-5
- DOI
- 10.1109/ICC40277.2020.9148962
- project
- Massive Mimo Technology and Applications
- language
- English
- LU publication?
- yes
- additional info
- Accepted in the Proceedings of IEEE ICC 2020, Dublin
- id
- e1d04dab-3cf0-422f-aac4-e65808ca0ad1
- alternative location
- https://arxiv.org/abs/2002.10817
- date added to LUP
- 2020-02-26 13:31:14
- date last changed
- 2022-04-18 20:57:55
@inproceedings{e1d04dab-3cf0-422f-aac4-e65808ca0ad1,
abstract = {{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.}},
author = {{Tian, Guoda and Tataria, Harsh and Tufvesson, Fredrik}},
booktitle = {{ICC 2020 - 2020 IEEE International Conference on Communications (ICC)}},
isbn = {{978-1-7281-5089-5}},
keywords = {{Massive MIMO Systems; Absolute Calibration; Parameter Estimation; Cramer-Rao Lower Bound}},
language = {{eng}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Amplitude and Phase Estimation for Absolute Calibration of Massive MIMO Front-Ends}},
url = {{http://dx.doi.org/10.1109/ICC40277.2020.9148962}},
doi = {{10.1109/ICC40277.2020.9148962}},
year = {{2020}},
}