High-accuracy joint position and orientation estimation in sparse 5G mmWave channel
Talvitie, Jukka; Koivisto, Mike; Levanen, Toni; Valkama, Mikko; Destino, Giuseppe; Wymeersch, Henk (2019-07-15)
J. Talvitie, M. Koivisto, T. Levanen, M. Valkama, G. Destino and H. Wymeersch, "High-Accuracy Joint Position and Orientation Estimation in Sparse 5G mmWave Channel," ICC 2019 - 2019 IEEE International Conference on Communications (ICC), Shanghai, China, 2019, pp. 1-7, doi: 10.1109/ICC.2019.8761910
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https://urn.fi/URN:NBN:fi-fe2020051127168
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Abstract
With the emergence of new 5G radio networks, high-accuracy positioning solutions are becoming extensively more important for numerous 5G-enabled applications and radio resource management tasks. In this paper, we focus on 5G mm-wave systems, and propose a method for high-accuracy estimation of the User Equipment (UE) position and antenna orientation. Based on the sparsity of the mm-wave channel, we utilize a compressive sensing approach for estimating the departure and arrival angles as well as the time-of-arrival for each observed radio propagation path. After this, in order to obtain statistical descriptions of the unknown parameters, we analytically derive a set of sampling distributions, which enable utilization of an iterative Gibbs sampling method. As shown by the obtained simulation results, the proposed method is able to achieve centimeter-level positioning accuracy with degree-level orientation accuracy, even in the absence of a line-of-sight path.
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