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Tracking position and orientation through millimeter wave lens MIMO in 5G systems

Shahmansoori, Arash; Uguen, Bernard; Destino, Giuseppe; Seco-Granados, Gonzalo; Wymeersch, Henk (2019-07-01)

 
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https://doi.org/10.1109/LSP.2019.2925969

Shahmansoori, Arash
Uguen, Bernard
Destino, Giuseppe
Seco-Granados, Gonzalo
Wymeersch, Henk
Institute of Electrical and Electronics Engineers
01.07.2019

A. Shahmansoori, B. Uguen, G. Destino, G. Seco-Granados and H. Wymeersch, Tracking Position and Orientation Through Millimeter Wave Lens MIMO in 5G Systems," in IEEE Signal Processing Letters, vol. 26, no. 8, pp. 1222-1226, Aug. 2019. doi: 10.1109/LSP.2019.2925969

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© 2019 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.
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doi:https://doi.org/10.1109/LSP.2019.2925969
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Abstract

Millimeter wave signals and large antenna arrays are considered enabling technologies for future 5G networks. Despite their benefits for achieving high data rate communications, their potential advantages for tracking of the location and rotation angle of the user terminals are not well investigated. A joint heuristic beam selection and user position and orientation tracking approach is proposed. First, the user location is tracked in the uplink by joint beam selection together with time-of-arrival (TOA) and angle-of-arrival (AOA) tracking at the base station (BS). Then, the user rotation angle is obtained using the location information by joint beam selection and tracking at the mobile station (MS). The beam selection, TOA and AOA tracking, at the BS and MS are performed during the data transmission phase. Numerical results demonstrate that the proposed method performs close to the estimated position and rotation angle in the training phase with reduced complexity and reduced number of required pilots for the estimation.

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