Direct Localization for Massive MIMO
Artikel i vetenskaplig tidskrift, 2017
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.
Antenna accessories
MIMO
5G mobile communication
sparse matrices
position measurement
multipath channels
Estimation
antenna arrays
base stations
Antenna arrays
direction-of-arrival estimation
MIMO
navigation
Array signal processing
signal processing algorithms
Base stations
parameter estimation
Position measurement
compressed sensing
Författare
Nil Garcia
Chalmers, Signaler och system, Kommunikation, Antenner och Optiska Nätverk
Henk Wymeersch
Chalmers, Signaler och system, Kommunikation, Antenner och Optiska Nätverk
E. G. Larsson
Linköpings universitet
Alexander M. Haimovich
New Jersey Institute of Technology
Martial Coulon
Université de Toulouse
IEEE Transactions on Signal Processing
1053-587X (ISSN)
Vol. 65 10 2475-2487 7849233Coopnet
Europeiska kommissionen (EU) (EC/FP7/258418), 2011-05-01 -- 2016-04-30.
Styrkeområden
Informations- och kommunikationsteknik
Ämneskategorier
Signalbehandling
DOI
10.1109/TSP.2017.2666779