An empirical multi-wall NLOS ranging model for Wi-Fi RTT indoor positioning

Qing Liang, Guohao Zhang, Li Ta Hsu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper proposes a novel empirical non-line-of-sight (NLOS) ranging model, called a multi-wall model, for Wi-Fi round-trip-time (RTT) indoor positioning. It is purposely designed to account for NLOS ranging biases due to through-wall signal propagation in complex indoor environments. Also, a low-order polynomial term is added to capture unmodeled NLOS effects. The model takes a 2D geometry floor plan as prior input and learns its parameters from a few on-site training data. It is evaluated by experiments using a large public RTT dataset and our self-collected data and compared to the naive LOS ranging, the polynomial-based empirical model, and a data-driven model. Results show that our model has superior NLOS-ranging performance. At last, we show the application of our model in fingerprinting-based RTT positioning with experiments.

Original languageEnglish
Title of host publicationProceedings of the 2023 13th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350320114
DOIs
Publication statusPublished - 2023
Event13th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2023 - Nuremberg, Germany
Duration: 25 Sept 202328 Sept 2023

Publication series

NameProceedings of the 2023 13th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2023

Conference

Conference13th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2023
Country/TerritoryGermany
CityNuremberg
Period25/09/2328/09/23

Keywords

  • empirical model
  • fingerprinting
  • indoor positioning
  • NLOS
  • ray tracing
  • Wi-Fi RTT

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Optimization
  • Instrumentation

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