A. Shahmansoori, G. E. Garcia, G. Destino, G. Seco-Granados and H. Wymeersch, "Position and Orientation Estimation Through Millimeter-Wave MIMO in 5G Systems," in IEEE Transactions on Wireless Communications, vol. 17, no. 3, pp. 1822-1835, March 2018. doi: 10.1109/TWC.2017.2785788
Position and orientation estimation through millimeter wave MIMO in 5G systems
|Author:||Shahmansoori, Arash1; Garcia, Gabriel E.2; Destino, Giuseppe3;|
1Department of Telecommunications and Systems Engineering, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
2Department of Electrical Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden
3Center for Wireless Communications, University of Oulu, 90014 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 1.7 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018080733444
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-08-07
Millimeter-wave (mm-wave) signals and large antenna arrays are considered enabling technologies for future 5G networks. While their benefits for achieving high-data rate communications are well-known, their potential advantages for accurate positioning are largely undiscovered. We derive the Cramér-Rao bound (CRB) on position and rotation angle estimation uncertainty from mm-wave signals from a single transmitter, in the presence of scatterers. We also present a novel two-stage algorithm for position and rotation angle estimation that attains the CRB for average to high signal-to-noise ratio. The algorithm is based on multiple measurement vectors matching pursuit for coarse estimation, followed by a refinement stage based on the space-alternating generalized expectation maximization algorithm. We find that accurate position and rotation angle estimation is possible using signals from a single transmitter, in either line-of-sight, non-line-of-sight, or obstructed-line-of-sight conditions.
IEEE transactions on wireless communications
|Pages:||1822 - 1835|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by EU FP7 Marie Curie Initial Training Network MULTI-POS (Multi-technology Positioning Professionals) under Grant 316528, in part by the EU-H2020 project HIGHTS (High Precision Positioning for Cooperative ITS Applications) under Grant MG-3.5a-2014-636537, in part by the VINNOVA COPPLAR Project, funded under Strategic Vehicle Research and Innovation under Grant 2015-04849, and in part by the Research and Development Projects of Spanish Ministry of Economy and Competitiveness TEC2014-53656-R and TEC2017-89925-R.
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