G. Destino, J. Saloranta, G. Seco-Granados and H. Wymeersch, "Performance Analysis of Hybrid 5G-GNSS Localization," 2018 52nd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2018, pp. 8-12. doi: 10.1109/ACSSC.2018.8645207
Performance analysis of hybrid 5G-GNSS localization
|Author:||Destino, Giuseppe1,2; Saloranta, Jani1; Seco-Granados, Gonzalo3;|
1University of Oulu, Oulu, Finland
2King’s College London, London, United Kingdom
3Universitat Autonoma de Barcelona, Barcelona, Spain
4Chalmers University of Technology, Gothenburg, Sweden
|Online Access:||PDF Full Text (PDF, 1.9 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019081624417
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2019-08-16
We consider a novel positioning solution combining millimeter wave (mmW) 5G and Global Navigation Satellite System (GNSS) technologies. The study is carried out theoretically by deriving the Fisher Information Matrix (FIM) of a combined 5G-GNSS positioning system and, subsequently, the position, rotation and clock-bias error lower bounds. We pursue a two-step approach, namely, computing first the FIM for the channel parameters, and then transforming it into the FIM of the position, rotation and clock-bias. The analysis shows advantages of the hybrid positioning in terms of i) localization accuracy, ii) coverage, iii) precise rotation estimation and iv) clock-error estimation. In other words, we demonstrate that a tight coupling of the two technologies can provide mutual benefits.
Asilomar Conference on Signals, Systems & Computers
|Pages:||8 - 12|
Conference Record of the Fifty-Second Asilomar Conference on Signals, Systems & Computers
Asilomar Conference on Signals, Systems and Computers
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported, in part, by the Academy of Finland projects 6Genesis Flagship (grant 318927), Fundamental of Simultaneous Localization and Communications (grant 298781), and Positioning-aided Reliably-connected Industrial Systems with Mobile mmWave Access (PRISMA), by the EU H2020 project 5GCAR, and the VINNOVA COPPLAR project, funded under Strategic Vehicle Research and Innovation Grant No. 2015-04849 and R+D Project of Spanish Ministry of Economy and Competitiveness under Grant TEC2017-89925-R.
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
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