3D Orientation Estimation with Multiple 5G mmWave Base Stations

Paper in proceeding, 2021

We consider the problem of estimating the 3D orientation of a user, using the downlink mmWave signals received from multiple base stations. We show that the received signals from several base stations, having known positions, can be used to estimate the unknown orientation of the user. We formulate the estimation problem as a maximum likelihood estimation in the manifold of rotation matrices. In order to provide an initial estimate to solve our non-linear non-convex optimization problem, we resort to a least squares estimation that exploits the underlying geometry. Our numerical results show that the problem of orientation estimation can be solved when the signals from at least two base stations are received. We also provide the orientation lower error bound, showing a narrow gap between the performance of the proposed estimators and the bound.