Location and Map-Assisted Wideband Phase and Time Calibration Between Distributed Antennas
Paper in proceeding, 2024

Distributed massive multiple-input multiple-output networks utilize a large number of distributed access points (APs) to serve multiple user equipments (UEs), offering significant potential for both communication and localization. However, these networks require frequent phase and time calibration between distributed antennas due to oscillator phase drifts, crucial for reciprocity-based coherent beamforming and accurate localization. While this calibration is typically performed through bi-directional measurements between antennas, it can be simplified to unidirectional measurement under perfect knowledge of antenna locations. This paper extends a recent phase calibration narrowband line-of-sight (LoS) model to a phase and time calibration wideband orthogonal frequency division multiplexing model, including both LoS and reflection paths and allowing for joint phase and time calibrations. We explore different scenarios, considering whether or not prior knowledge of antenna locations and the map is available. For each case, we introduce a practical maximum likelihood estimator and conduct Cramer-Rao lower bound (CRLB) analyses to benchmark performance. Simulations validate our estimators against the CRLB in these scenarios.

reciprocity calibration

phase calibration

Time Calibration

cell-free massive MIMO

carrier phase positioning

distributed antenna

delay estimation

Author

Yibo Wu

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Musa Furkan Keskin

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Ulf Gustavsson

Ericsson

Gonzalo Seco-Granados

Universitat Autonoma de Barcelona (UAB)

Erik G. Larsson

Linköping University

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

2024 IEEE Globecom Workshops, GC Wkshps 2024

2024 IEEE Globecom Workshops, GC Wkshps 2024
Cape Town, South Africa,

Hardware-aware Integrated Localization and Sensing for Communication Systems

Swedish Research Council (VR) (2022-03007), 2023-01-01 -- 2026-12-31.

Deep RF

Ericsson, 2020-01-01 -- 2024-12-31.

Swedish Foundation for Strategic Research (SSF) (DnrID19-0021), 2020-01-01 -- 2024-12-31.

Areas of Advance

Information and Communication Technology

Subject Categories (SSIF 2011)

Telecommunications

Communication Systems

More information

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