Direct Localization for Massive MIMO

By Nil Garcia, Henk Wymeersch, Erik G. Larsson, A. Haimovich, Martial Coulon. IEEE Transactions on Signal Processing, 2016

352 citations recorded by the source corpus.

Large-scale MIMO systems are well known for their advantages in communications, but they also have the potential for providing very accurate localization, thanks to their high angular resolution. A difficult problem arising indoors and outdoors is localizing users over multipath channels. Localization based on angle of arrival (AOA) generally involves a two-step procedure, where signals are first processed to obtain a user's AOA at different base stations, followed by triangulation to determine the user's position. In the presence of multipath, the performance of these methods is greatly degraded due to the inability to correctly detect and/or estimate the AOA of the line-of-sight (LOS) paths. To counter the limitations of this two-step procedure which is inherently suboptimal, we propose a direct localization approach in which the position of a user is localized by jointly processing the observations obtained at distributed massive MIMO base stations. Our approach is based on a novel compressed sensing framework that exploits channel properties to distinguish LOS from non-LOS signal paths, and leads to improved performance results compared to previous existing methods.

Subfields: Computational Mechanics, Electrical and Electronic Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/63dd90847a022e4d716be35b6f6675928ce5a68c

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In Computational Mechanics

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Citations in the corpus

Throughput Maximization for UAV-Enabled Integrated Periodic Sensing and Communication (2022, background): “The horizontal location of user k is denoted by uk = [ux,k, uy,k] , which can be either obtained by global positioning system (GPS) or estimated by uplink signals [35].”
Position and Orientation Estimation Through Millimeter-Wave MIMO in 5G Systems (2017, neutral): “In the massive MIMO case, [27] considered the estimation of angles, [31] proposed a direct localization method by jointly processing the observations at the distributed massive MIMO BSs, while [28] treated the joint estimation of delay, AOD, and AOA, in the LOS conditions and evaluated the impact of”
The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications (2024, neutral): “These can provide some amount of angle resolution, provided that paths are well separated in the angle domain, as seen from the BS [118].”
Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays (2019, background): “First of all, the use of arrays at the BSs enables estimation of new physical quantities, namely the AoA (in uplink) and angle-of-departure (AoD) (in downlink) [87].”