An analysis of the properties and the performance of WiFi RTT for indoor positioning in non-line-of-sight environments

Xu Feng, Khuong An Nguyen, Zhiyuan Luo

Research output: Contribution to conferencePaperpeer-review

Abstract

Indoor positioning system based on WiFi Round-Trip Time (RTT) measurement is believed to deliver sub-metre level accuracy with trilateration, under ideal indoor conditions. However, the performance of WiFi RTT positioning in complex, non-line-of-sight environments re-mains a research challenge.

To this end, this paper investigates the properties of WiFi RTT in several real-world indoor environments on heterogeneous smartphones. We present a large-scale real-world dataset containing both RTT and received signal strength (RSS) signal measures with correct ground-truth labels.

Our results indicated that RTT fingerprinting system delivered an accuracy below 0.75 m which was 98% better than RSS fingerprinting and 166% better than RTT trilateration, which failed to deliver sub-metre accuracy as claimed.
Original languageEnglish
Number of pages17
Publication statusPublished - 12 Sep 2022
Event17th International Conference on Location Based Services - Munich, Germany
Duration: 12 Sep 202214 Sep 2022
https://conferences.lfk.lrg.tum.de/lbs2022/

Conference

Conference17th International Conference on Location Based Services
Abbreviated titleLBS 2022
Country/TerritoryGermany
CityMunich
Period12/09/2214/09/22
Internet address

Keywords

  • Indoor Positioning
  • WiFi Round-Trip Time
  • Non-line-of-sight measure

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