Simulation of UWB Radar-Based Positioning Performance for a UAV in an Urban Area

Halim Lee, Woohyun Kim, Jiwon Seo

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

10 Citations (Scopus)

Abstract

In an urban canyon environment, the positioning accuracy of global navigation satellite systems (GNSSs) decreases. In this paper, we consider an ultra-wideband (UWB) radar-based positioning method for unmanned aerial vehicles (UAVs) as a complement to GNSS in an urban canyon environment. The positioning accuracy of the UWB radar-based system is simulated based on the error statistics from actual range measurements. For a realistic simulation, we created a 3D map of an actual urban canyon environment in Seoul, deployed UWB radars on the map, and evaluated the positioning accuracy of a UAV at a single location.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538658079
DOIs
Publication statusPublished - 2018 Nov 28
Event2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 - JeJu, Korea, Republic of
Duration: 2018 Jun 242018 Jun 26

Publication series

Name2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018

Other

Other2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
Country/TerritoryKorea, Republic of
CityJeJu
Period18/6/2418/6/26

Bibliographical note

Funding Information:
This research was supported by a grant (18CTAP-C143427-01) from Technology Advancement Research Program funded by the Ministry of Land, Infrastructure and Transport of Korean government. This research was also supported by the Ministry of Science and ICT (MSIT), Korea, under the “ICT Consilience Creative Program” (IITP-2018-2017-0-01015) supervised by the Institute for Information & Communications Technology Promotion (IITP).

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition

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