Autonomous 3D UAV Localization using Taylor Series linearized TDOA-based approach with Machine Learning Algorithms

Valmik Tilwari, Sangheon Pack

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Time difference of arrival (TDOA) is the prominent technology for autonomous and real-time three-dimensional (3D) location estimation of the Unmanned aerial vehicles (UAVs). Conventional TDOA localization techniques suffer from the nonlinear optimization problem and hyperbolic intersection to predict the 3D location of UAVs precisely. Therefore, this paper proposes a new positioning Taylor series linearized TDOA-based approach to estimate a precise 3D position of the UAV s. The proposed approach determines the 3D location of the UAV s by evaluating the synchronized difference in arrival time of the signal at spatially separated various anchors nodes. Moreover, machine learning algorithms are applied to optimize the performance of the Taylor series linearized TDOA-based approach and provide a localization solution with comparable accuracy in real-time applications. Consequently, the simulation results are expressed in terms of root mean square errors compared with various machine learning algorithms.

Original languageEnglish
Title of host publicationICTC 2022 - 13th International Conference on Information and Communication Technology Convergence
Subtitle of host publicationAccelerating Digital Transformation with ICT Innovation
PublisherIEEE Computer Society
Pages783-785
Number of pages3
ISBN (Electronic)9781665499392
DOIs
Publication statusPublished - 2022
Event13th International Conference on Information and Communication Technology Convergence, ICTC 2022 - Jeju Island, Korea, Republic of
Duration: 2022 Oct 192022 Oct 21

Publication series

NameInternational Conference on ICT Convergence
Volume2022-October
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference13th International Conference on Information and Communication Technology Convergence, ICTC 2022
Country/TerritoryKorea, Republic of
CityJeju Island
Period22/10/1922/10/21

Keywords

  • Autonomous navigation
  • Machine learning
  • Optimization
  • Time difference of arrival
  • Unmanned aerial vehicles

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

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