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) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2020051127168 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2019
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Publish Date: | 2020-05-11 |
Description: |
AbstractWith 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. see all
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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 |
OADOI: | https://oadoi.org/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 |
Subjects: | |
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) |
Copyright information: |
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