Beam Tracking Algorithm for UAV Communications Using Kalman Filter

Ha Lim Song, Young Chai Ko, Jungil Cho, Chanho Hwang

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

Abstract

To support moving users, stations, or relays in UAV assisted communication, beam tracking is an essential technology. Considering the movements and aerial perturbations of UAV, consistent beam tracking is a challenging problem. To address this problem, we propose an efficient Kalman filter (KF) based beam tracking scheme, which exploits monopulse signal as a measurement model. It can estimate the angular parameter with an accurate update phase. The conventional schemes use the beamformed signal as the measurement model, but the beamformed signal of measurement is ineligible to the KF system. Therefore, we show that the proposed scheme with a novel measurement is appropriate for the tracking scenarios and outperforms conventional schemes.

Original languageEnglish
Title of host publicationICTC 2020 - 11th International Conference on ICT Convergence
Subtitle of host publicationData, Network, and AI in the Age of Untact
PublisherIEEE Computer Society
Pages1101-1104
Number of pages4
ISBN (Electronic)9781728167589
DOIs
Publication statusPublished - 2020 Oct 21
Event11th International Conference on Information and Communication Technology Convergence, ICTC 2020 - Jeju Island, Korea, Republic of
Duration: 2020 Oct 212020 Oct 23

Publication series

NameInternational Conference on ICT Convergence
Volume2020-October
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference11th International Conference on Information and Communication Technology Convergence, ICTC 2020
Country/TerritoryKorea, Republic of
CityJeju Island
Period20/10/2120/10/23

Keywords

  • Beam Tracking
  • Beamforming
  • Extended Kalman filter
  • Kalman filter
  • Monopulse signal
  • UAV communication

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Beam Tracking Algorithm for UAV Communications Using Kalman Filter'. Together they form a unique fingerprint.

Cite this