University of Oulu

J. Talvitie, M. Valkama, G. Destino and H. Wymeersch, "Novel Algorithms for High-Accuracy Joint Position and Orientation Estimation in 5G mmWave Systems," 2017 IEEE Globecom Workshops (GC Wkshps), Singapore, 2017, pp. 1-7. doi: 10.1109/GLOCOMW.2017.8269069

Novel algorithms for high-accuracy joint position and orientation estimation in 5G mmWave systems

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Author: Talvitie, Jukka1; Valkama, Mikko1; Destino, Giuseppe2;
Organizations: 1Laboratory of Electronics and Communications Engineering, Tampere University of Technology, 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, 0.2 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-08-06


We propose a method for accurate estimation of the User Equipment (UE) position and antenna orientation. For this, we exploit the sparsity of the mm-wave channel, and employ a compressive sensing approach with iterative refinement steps for accurate estimation of the channel parameters, including the departure and arrival angles as well as the time-of-arrival for each observed propagation path. Based on the estimated channel parameters, we formulate an iterative Gibbs sampler to obtain statistical descriptions for the unknown UE position and orientation along with the unknown scatterer positions, even in the absence of a Line-Of-Sight path.

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ISBN: 978-1-5386-3920-7
ISBN Print: 978-1-5386-3921-4
Pages: 1 - 7
Article number: 8269069
DOI: 10.1109/GLOCOMW.2017.8269069
Host publication: 2017 IEEE Globecom Workshops (GC Wkshps)
Conference: IEEE Globecom Workshops
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work is financially supported by the Finnish Funding Agency for Innovation (Tekes), under the project ”Wireless for Verticals” (WIVE), and by the Horizon2020 projects 5GCAR and HIGHTS MG-3.5a-2014-636537, the VINNOVA COPPLAR project, funded under Strategic Vehicle Research and Innovation Grant No. 2015-04849.
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