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.
Channel estimation
subspace
Tensors
Estimation
Transmission line matrix methods
tensor decomposition
Massive MIMO
Delays
5G mobile communication
Wireless communication
localization
beamspace ESPRIT
Author
Fuxi Wen
Tsinghua University
Josef Kulmer
Technische Universität Graz
Klaus Witrisal
Technische Universität Graz
Henk Wymeersch
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
IEEE Transactions on Wireless Communications
1536-1276 (ISSN)
Vol. 20 2 1164-1174 9234644Multidimensional coherent communications with microcombs
Swedish Research Council (VR) (2020-00453), 2020-12-01 -- 2026-11-30.
Massive MIMO location for 5G networks, MassLOC
European Commission (EC) (EC/H2020/700044), 2017-04-18 -- 2019-04-13.
Areas of Advance
Information and Communication Technology
Subject Categories
Telecommunications
Communication Systems
Signal Processing
DOI
10.1109/TWC.2020.3031180