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arXiv · 1702.01605

Position and Orientation Estimation through Millimeter Wave MIMO in 5G Systems

Arash Shahmansoori·Gabriel E. Garcia·Giuseppe Destino·Gonzalo Seco-Granados·Henk Wymeersch
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Abstract

Millimeter 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 Cram\'{e}r-Rao bound (CRB) on position and rotation angle estimation uncertainty from millimeter 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.

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Arash Shahmansoori, Gabriel E. Garcia, Giuseppe Destino, Gonzalo Seco-Granados, Henk Wymeersch. 2017-02-06. Position and Orientation Estimation through Millimeter Wave MIMO in 5G Systems. https://doi.org/10.1109/twc.2017.2785788

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