@inbook{94c27abfffa44490bf96f29e127ed403,
title = "Low-Complexity Accurate Mmwave Positioning for Single-Antenna Users Based on Angle-of-Departure and Adaptive Beamforming",
abstract = "The problem of position estimation of a mobile user equipped with a single antenna receiver using downlink transmissions is addressed. The advantages of this setup compared to the classical MIMO and uplink scenarios are analyzed in terms of achievable theoretical performance (Cram{\'e}r-Rao bounds) considering a realistic power budget. Based on this analysis, a low-complexity two-step algorithm with improved localization performance is proposed, which first performs a (coarse) angle of departure estimation and then precodes the down-link signal to introduce beamforming towards the user direction. Results demonstrate that position estimation in downlink can be potentially much more accurate than in uplink, even in presence of multiple users in the system.",
keywords = "5G cellular networks, angle of departure (AOD), downlink, mmWave, position estimation",
author = "Alessio Fascista and Angelo Coluccia and Henk Wymeersch and Gonzalo Seco-Granados",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.",
year = "2020",
month = may,
doi = "10.1109/ICASSP40776.2020.9053493",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4866--4870",
booktitle = "2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings",
address = "United States",
}