Map-based Antenna Adaptation for Multipath-assisted Positioning

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Abstract

In this paper, a radio environment map is formulated leveraging a multipath-resolved radio channel model in order to improve the robustness of a multipath-assisted positioning system equipped with directional antennas. A simplified position error bound is derived from the channel model and used as a basis for the map formulation. The map is evaluated in a lab environment on the basis of ultra-wideband (UWB) channel measurements. As an example application, the maps are used in a maximum likelihood based positioning algorithm in order to guide an antenna selection process with the intention to reduce the number of measurements. The algorithm is evaluated on simulated and real measurement data, showing consistent sub-meter accuracy (90% error of 30 cm) while using only a subset of the antennas.

Original languageEnglish
Title of host publication2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021
PublisherInstitute of Electrical and Electronics Engineers
Pages431-435
Number of pages5
ISBN (Electronic)9781665428514
DOIs
Publication statusPublished - 2021
Event22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications: SPAWC 2021 - Lucca, Italy
Duration: 27 Sept 202130 Sept 2021

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2021-September

Conference

Conference22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications
Country/TerritoryItaly
CityLucca
Period27/09/2130/09/21

Keywords

  • adaptive antenna
  • location awareness
  • multipath component
  • radio environment map
  • radio positioning

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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