Measurement Errors in Range-Based Localization Algorithms for UAVs: Analysis and Experimentation

Francesco Betti Sorbelli, Cristina M. Pinotti, Simone Silvestri, Sajal K. Das

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Localizing ground devices (GDs) is an important requirement for a wide variety of applications, such as infrastructure monitoring, precision agriculture, search and rescue operations, to name a few. To this end, unmanned aerial vehicles (UAVs) or drones offer a promising technology due to their flexibility. However, the distance measurements performed using a drone, an integral part of a localization procedure, incur several errors that affect the localization accuracy. In this paper, we provide analytical expressions for the impact of different kinds of measurement errors on the ground distance between the UAV and GDs. We review three range-based and three range-free localization algorithms, identify their source of errors, and analytically derive the error bounds resulting from aggregating multiple inaccurate measurements. We then extend the range-free algorithms for improved accuracy. We validate our theoretical analysis and compare the observed localization error of the algorithms after collecting data from a testbed using ten GDs and one drone, equipped with ultra wide band (UWB) antennas and operating in an open field. Results show that our analysis closely matches with experimental localization errors. Moreover, compared to their original counterparts, the extended range-free algorithms significantly improve the accuracy.

Original languageEnglish
Pages (from-to)1291-1304
Number of pages14
JournalIEEE Transactions on Mobile Computing
Volume21
Issue number4
DOIs
StatePublished - Apr 1 2022

Bibliographical note

Publisher Copyright:
© 2002-2012 IEEE.

Keywords

  • Drone
  • ground error
  • localization algorithm
  • localization error
  • range-based
  • trilateration error

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Measurement Errors in Range-Based Localization Algorithms for UAVs: Analysis and Experimentation'. Together they form a unique fingerprint.

Cite this