5G Positioning and Mapping with Diffuse Multipath

Fuxi Wen*, Josef Kulmer, Klaus Witrisal, Henk Wymeersch

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Article number9234644
Pages (from-to)1164-1174
Number of pages11
JournalIEEE Transactions on Wireless Communications
Issue number2
Publication statusPublished - Feb 2021


  • beamspace ESPRIT
  • localization
  • Massive MIMO
  • subspace
  • tensor decomposition

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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