University of Oulu

J. Talvitie, M. Koivisto, T. Levanen, M. Valkama, G. Destino and H. Wymeersch, "High-Accuracy Joint Position and Orientation Estimation in Sparse 5G mmWave Channel," ICC 2019 - 2019 IEEE International Conference on Communications (ICC), Shanghai, China, 2019, pp. 1-7, doi: 10.1109/ICC.2019.8761910

High-accuracy joint position and orientation estimation in sparse 5G mmWave channel

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Author: Talvitie, Jukka1; Koivisto, Mike1; Levanen, Toni1;
Organizations: 1Department of Electrical Engineering, Tampere University, Finland
2Centre for Wireless Communications, University of Oulu, Finland
3Department of Electrical Engineering, Chalmers University of Technology, Sweden
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-05-11


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.

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Series: IEEE International Conference on Communications
ISSN: 1550-3607
ISSN-E: 1938-1883
ISSN-L: 1550-3607
ISBN: 978-1-5386-8088-9
ISBN Print: 978-1-5386-8089-6
Pages: 1 - 7
Article number: 8761910
DOI: 10.1109/ICC.2019.8761910
Host publication: 2019 IEEE International Conference on Communications, ICC 2019, 20-24 May 2019 Shanghai, China
Conference: IEEE International Conference on Communications
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was partially supported by the Academy of Finland project FALCON (Grant No. 298781), EU H2020 projects HIGHTS (Grant No. MG- 3.5a-2014-636537) and 5GCAR, the VINNOVA COPPLAR project, funded under Strategic Vehicle Research and Innovation (Grant No. 2015-04849), as well as the Doctoral Program of the President of Tampere University of Technology, and Business Finland under the projects TAKE-5 and WIVE.
Academy of Finland Grant Number: 298781
Detailed Information: 298781 (Academy of Finland Funding decision)
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