Position and Orientation Estimation Through Millimeter-Wave MIMO in 5G Systems
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| Authors | Arash Shahmansoori, Gabriel E. García, G. Destino, G. Seco-Granados, H. Wymeersch |
| Journal/Conference Name | I |
| Paper Category | Computer Science Applications |
| Paper 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. |
| Date of publication | 2018 |
| Code Programming Language | Matlab |
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