Measurement based performance evaluation of drone self-localization using AoA of cellular signals

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

This paper focus on drone self-localization based on received signals from stationary base stations with known locations without having access to global navigation satellite system (GNSS) signals. In the considered method, the drone first estimates the angle of arrival (AoA) based on the downlink signal strength measurements by rotating non-isotropic antenna. Once AoA is estimated from several base stations, the drone can be localized on a 2D plane by using the least squares method. This method was selected due to its simplicity and thus ease of implementation in low cost drones. To better understand the achievable performance of the studied AoA estimation method, we performed several measurements using a prototype system to characterize the antenna rotation and AoA estimation errors. The error models were then plugged into simulator to analyze the achievable performance in typical macro cellular setting. Our measurement results indicate, that the AoA could be estimated with 6.02° accuracy in case of a hovering drone. Our simulation results indicate, that in typical macro cellular setup with line-of-sight propagation, the median localization error was less than 45 m for a hovering drone.

Original languageEnglish
Title of host publicationWPMC 2021 - 24th International Symposium on Wireless Personal Multimedia Communications
Subtitle of host publicationPaving the Way for Digital and Wireless Transformation
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781665427609
DOIs
Publication statusPublished - 2021
MoE publication typeA4 Article in a conference publication
EventInternational Symposium on Wireless Personal Multimedia Communications - Okayama, Japan
Duration: 14 Dec 202116 Dec 2021
Conference number: 24

Publication series

NameInternational Symposium on Wireless Personal Multimedia Communications, WPMC
Volume2021-December
ISSN (Print)1347-6890

Conference

ConferenceInternational Symposium on Wireless Personal Multimedia Communications
Abbreviated titleWPMC
Country/TerritoryJapan
CityOkayama
Period14/12/202116/12/2021

Keywords

  • Angle-of-arrival estimation
  • drones
  • self-localization

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