Integrating GPS Sensor and Beamforming for UAV Tracking Algorithm

Ha Lim Song; Young Chai Ko

doi:10.1109/ICEIC51217.2021.9369823

Integrating GPS Sensor and Beamforming for UAV Tracking Algorithm

Ha Lim Song, Young Chai Ko

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

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 language	English
Title of host publication	2021 International Conference on Electronics, Information, and Communication, ICEIC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728191614
DOIs	https://doi.org/10.1109/ICEIC51217.2021.9369823
Publication status	Published - 2021 Jan 31
Event	2021 International Conference on Electronics, Information, and Communication, ICEIC 2021 - Jeju, Korea, Republic of Duration: 2021 Jan 31 → 2021 Feb 3

Publication series

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

Conference

Conference	2021 International Conference on Electronics, Information, and Communication, ICEIC 2021
Country/Territory	Korea, Republic of
City	Jeju
Period	21/1/31 → 21/2/3

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work has been supported by the Future Combat System Network Technology Research Center program of Defense Acquisition Program Administration and Agency for Defense Development. (UD190033ED)

Publisher Copyright:
© 2021 IEEE.

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

Access to Document

10.1109/ICEIC51217.2021.9369823

Cite this

Song, H. L., & Ko, Y. C. (2021). Integrating GPS Sensor and Beamforming for UAV Tracking Algorithm. In 2021 International Conference on Electronics, Information, and Communication, ICEIC 2021 Article 9369823 (2021 International Conference on Electronics, Information, and Communication, ICEIC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEIC51217.2021.9369823

Integrating GPS Sensor and Beamforming for UAV Tracking Algorithm. / Song, Ha Lim; Ko, Young Chai.
2021 International Conference on Electronics, Information, and Communication, ICEIC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9369823 (2021 International Conference on Electronics, Information, and Communication, ICEIC 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Song, HL & Ko, YC 2021, Integrating GPS Sensor and Beamforming for UAV Tracking Algorithm. in 2021 International Conference on Electronics, Information, and Communication, ICEIC 2021., 9369823, 2021 International Conference on Electronics, Information, and Communication, ICEIC 2021, Institute of Electrical and Electronics Engineers Inc., 2021 International Conference on Electronics, Information, and Communication, ICEIC 2021, Jeju, Korea, Republic of, 21/1/31. https://doi.org/10.1109/ICEIC51217.2021.9369823

Song HL, Ko YC. Integrating GPS Sensor and Beamforming for UAV Tracking Algorithm. In 2021 International Conference on Electronics, Information, and Communication, ICEIC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 9369823. (2021 International Conference on Electronics, Information, and Communication, ICEIC 2021). doi: 10.1109/ICEIC51217.2021.9369823

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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.",

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N2 - 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.

AB - 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.

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Integrating GPS Sensor and Beamforming for UAV Tracking Algorithm

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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