Integrating GPS Sensor and Beamforming for UAV Tracking Algorithm

Ha Lim Song, Young Chai Ko

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

Abstract

Integrating flight sensor data into beamforming technology in unmanned aerial vehicles (UAVs) communications is an attractive solution. Due to the movements and perturbations of UAV, maintaining beam alignment is a challenging issue. In this paper, we propose an integrated flight sensor data and beamforming algorithm for UAV tracking. We can reduce the beam training overhead drastically with the global positioning system (GPS). However, due to relatively large errors and a long period of the GPS signal data, we consider exploiting beamforming to persist the beam alignment even when the GPS signal is absent. The simulation results show that the proposed scheme can improve the performance compared to a GPS-single system. In addition, the proposed algorithm can accomplish high beamforming gain with less beam training overhead compared to the conventional beamforming algorithm.

Original languageEnglish
Title of host publication2021 International Conference on Electronics, Information, and Communication, ICEIC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728191614
DOIs
Publication statusPublished - 2021 Jan 31
Event2021 International Conference on Electronics, Information, and Communication, ICEIC 2021 - Jeju, Korea, Republic of
Duration: 2021 Jan 312021 Feb 3

Publication series

Name2021 International Conference on Electronics, Information, and Communication, ICEIC 2021

Conference

Conference2021 International Conference on Electronics, Information, and Communication, ICEIC 2021
CountryKorea, Republic of
CityJeju
Period21/1/3121/2/3

Keywords

  • Beam tracking
  • Beamforming
  • Flight sensor data
  • UAV communictions

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Instrumentation

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