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

Compressed sensing

mm-wave

Gibbs sampling

MIMO

Orientation estimation

Positioning

5G systems

Author

Jukka Talvitie

University of Tampere

Mike Koivisto

University of Tampere

Toni Levanen

University of Tampere

Mikko Valkama

University of Tampere

Giuseppe Destino

Univ Oulu

Henk Wymeersch

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)

1550-3607 (ISSN)

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

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1109/ICC.2019.8761910

ISBN

9781538680889

More information

Latest update

11/22/2019