Cooperative dynamic angle of arrival estimation considering space-time correlations for terahertz communications
Artikel i vetenskaplig tidskrift, 2018

© 2002-2012 IEEE. Angle of arrival (AoA) estimation is required by adaptive directive antennas in order to realize a high antenna gain, which is necessary for future indoor terahertz communications due to its extremely high path loss. This paper proposes an AoA estimation algorithm using belief propagation in a dynamic scenario, where the user equipment (UE) is moving during the data transmission, based on the space-time correlations of AoA change. The temporal correlation of AoA change is due to the limited moving speed and statistical movement pattern. Furthermore, if we have distributed antennas or hybrid massive multiple-input-multiple-output (MIMO) array, the AoA changes of different antennas reveal spatial correlation because all the AoA changes are caused by the same spatial displacement of UE. This spatial correlation is utilized in this paper to further improve the estimation accuracy by passing messages between antennas and combining the intrinsic estimate by each antenna and extrinsic information from other antennas. In order to demonstrate the algorithm performance, a distributed antenna system and a hybrid massive MIMO array (an array of multiple directive antenna arrays) are considered as application scenarios. The simulation results show that the cooperative estimation brings significant advantage in both scenarios in respect of mean effective antenna gain and level crossing rate.

Bayesian inference

sum-product algorithm

belief propagation

hybrid massive MIMO array

distributed antennas

Angle of arrival estimation

terahertz (THz) communications


Bile Peng

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Technische Universität Braunschweig

Ke Guan

Technische Universität Braunschweig

Beijing Jiaotong University

Thomas Kurner

Technische Universität Braunschweig

IEEE Transactions on Wireless Communications

15361276 (ISSN) 15582248 (eISSN)

Vol. 17 9 6029-6041 8412230







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