Skip to main navigation Skip to search Skip to main content

Analysis and Modeling of peer-to-peer RSS/TOA measurements for UAVs

  • Junxi Tian
  • , Junqi Shan
  • , Ming Yang
  • , Shi Ming Zou
  • , Tao Chao*
  • *Corresponding author for this work
  • School of Astronautics, Harbin Institute of Technology

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

Abstract

Cooperative localization is one of the effective methods to restrain multipath fading and shadow fading in the urban environment whose positioning accuracy mainly depends on the ranging precision and the positioning effect of unmanned aerial vehicles(UAVs). Distance estimation including time of arrival(TOA) and received signal strength(RSS) whose accuracy is influenced significantly by the ranging model especially in antenna direction and random error modeling. In this paper, firstly, the improved TOA and RSS ranging model containing compensation of antenna direction is given by the static fitting experiment. Furthermore, the random error of TOA and RSS ranging is modeled as logarithmic function and polynomial function separately. Finally, the weighted least-squares method is proposed to verify the effectiveness of the improved model.

Original languageEnglish
Title of host publicationProceeding - 2021 China Automation Congress, CAC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages554-559
Number of pages6
ISBN (Electronic)9781665426473
DOIs
StatePublished - 2021
Externally publishedYes
Event2021 China Automation Congress, CAC 2021 - Beijing, China
Duration: 22 Oct 202124 Oct 2021

Publication series

NameProceeding - 2021 China Automation Congress, CAC 2021

Conference

Conference2021 China Automation Congress, CAC 2021
Country/TerritoryChina
CityBeijing
Period22/10/2124/10/21

Keywords

  • Unmanned aerial vehicle(UAV) swarm
  • antenna direction compensation
  • cooperative localization
  • received signal strength(RSS)
  • time of arrival(TOA)

Fingerprint

Dive into the research topics of 'Analysis and Modeling of peer-to-peer RSS/TOA measurements for UAVs'. Together they form a unique fingerprint.

Cite this