WiFi round-trip time (RTT) fingerprinting: an analysis of the properties and the performance in non-line-of-sight environments

Xu Feng, Khuong An Nguyen, Zhiyuan Luo

Research output: Contribution to journalArticlepeer-review

Abstract

Indoor positioning systems based on WiFi round-trip time (RTT) measurement were reported to deliver sub-metre-level accuracy using trilateration, under ideal indoor conditions. However, the performance of WiFi RTT positioning in complex, non-line-of-sight environment remains an open research question. To this end, this article investigates the properties of WiFi RTT in several real-world indoor environments on heterogeneous smartphones. We present three datasets collected on a large-scale building floor, an office room and an apartment. The datasets contain both RTT and received signal strength (RSS) signal measures with correct ground-truth labels for further research. Our results indicated that in a complex indoor environment, RTT fingerprinting system delivered an accuracy of 0.6 m which was 107% better than traditional RSS fingerprinting and 6 m better than RTT trilateration which failed to deliver sub-metre accuracy as claimed.
Original languageEnglish
Pages (from-to)307-339
Number of pages33
JournalJournal of Location Based Services
Volume17
Issue number4
DOIs
Publication statusPublished - 11 Aug 2023

Keywords

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

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