High-Accuracy Joint Position and Orientation Estimation in Sparse 5G mmWave channel
Paper in proceeding, 2019

With the emergence of new 5G radio networks, high-accuracy positioning solutions are becoming extensively more important for numerous 5G-enabled applications and radio resource management tasks. In this paper, we focus on 5G mm-wave systems, and propose a method for high-accuracy estimation of the User Equipment (UE) position and antenna orientation. Based on the sparsity of the mm-wave channel, we utilize a compressive sensing approach for estimating the departure and arrival angles as well as the time-of-arrival for each observed radio propagation path. After this, in order to obtain statistical descriptions of the unknown parameters, we analytically derive a set of sampling distributions, which enable utilization of an iterative Gibbs sampling method. As shown by the obtained simulation results, the proposed method is able to achieve centimeter-level positioning accuracy with degree-level orientation accuracy, even in the absence of a line-of-sight path.

5G systems


Gibbs sampling


Compressed sensing


Orientation estimation


Jukka Talvitie

University of Tampere

Mike Koivisto

University of Tampere

Toni Levanen

University of Tampere

Mikko Valkama

University of Tampere

Giuseppe Destino

University of Oulu

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE International Conference on Communications

15503607 (ISSN)

978-1-5386-8088-9 (ISBN)

IEEE International Conference on Communications (ICC)
Shanghai, China,

Subject Categories


Communication Systems

Signal Processing





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