Position and orientation estimation through millimeter wave MIMO in 5G systems
Shahmansoori, Arash; Garcia, Gabriel E.; Destino, Giuseppe; Seco-Granados, Gonzalo; Wymeersch, Henk (2017-12-27)
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
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
https://rightsstatements.org/vocab/InC/1.0/
https://urn.fi/URN:NBN:fi-fe2018080733444
Tiivistelmä
Abstract
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.
Kokoelmat
- Avoin saatavuus [38841]