5G Positioning and Mapping with Diffuse Multipath
Journal article, 2021

5G mmWave communication is useful for positioning due to the geometric connection between the propagation channel and the propagation environment. Channel estimation methods can exploit the resulting sparsity to estimate parameters (delay and angles) of each propagation path, which in turn can be exploited for positioning and mapping. When paths exhibit significant spread in either angle or delay, these methods break down or lead to significant biases. We present a novel tensor-based method for channel estimation that allows estimation of mmWave channel parameters in a non-parametric form. The method is able to accurately estimate the channel, even in the absence of a specular component. This in turn enables positioning and mapping using only diffuse multipath. Simulation results are provided to demonstrate the efficacy of the proposed approach.

Transmission line matrix methods

localization

Estimation

Delays

subspace

Massive MIMO

5G mobile communication

Wireless communication

Channel estimation

Tensors

beamspace ESPRIT

tensor decomposition

Author

Fuxi Wen

Tsinghua University

Josef Kulmer

Technische Universität Graz

Klaus Witrisal

Technische Universität Graz

Henk Wymeersch

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

IEEE Transactions on Wireless Communications

1536-1276 (ISSN)

Vol. 20 2 1164-1174

Massive MIMO location for 5G networks, MassLOC

European Commission (EC), 2017-04-18 -- 2019-04-13.

Multidimensional coherent communications with microcombs

Swedish Research Council (VR), 2020-12-01 -- 2026-11-30.

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1109/TWC.2020.3031180

More information

Latest update

4/22/2021