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Direct Localization for Massive MIMO

Nil Garcia (Institutionen för signaler och system, Kommunikationssystem) ; Henk Wymeersch (Institutionen för signaler och system, Kommunikationssystem) ; Erik G. Larsson ; Alexander M. Haimovich ; Martial Coulon
IEEE Transactions on Signal Processing (1053-587X). Vol. 65 (2017), 10, p. 2475-2487.
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: Antenna arrays, Base stations, MIMO, Array signal processing, Estimation, Position measurement, Antenna accessories, base stations, MIMO, multipath channels, position measurement, 5G mobile communication, direction-of-arrival estimation, navigation, antenna arrays, signal processing algorithms, compressed sensing, sparse matrices, parameter estimation



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Denna post skapades 2017-03-10. Senast ändrad 2017-03-10.
CPL Pubid: 248519

 

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