3D radio signal visualization employing drone

Ryota Hagiwara, Hikari Inata, Yukihiko Okouchi, Jiang Liu, Shigeru Shimamoto

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

Abstract

In this paper, we propose a system for visualization of radio signal using drone in the field. It is possible to measure the directivity of antennas if we use anechoic chamber. However, it is difficult to obtain the directivity of antennas in the field. In order to get the directivity of antennas in the field, we propose the system which uses detector circuits which convert radio signals to light, receive antennas, and drone. To obtain the directivity in the field, we carried out an experiment. In this experiment, we used Yagi-antennas. The results show that precision of the system is a moderate match to the directivity obtained from the chamber. The results also confirm the proposed system is practical in the field.

LanguageEnglish
Title of host publicationCCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
Volume2018-January
ISBN (Electronic)9781538647905
DOIs
Publication statusPublished - 2018 Mar 16
Event15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018 - Las Vegas, United States
Duration: 2018 Jan 122018 Jan 15

Other

Other15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018
CountryUnited States
CityLas Vegas
Period18/1/1218/1/15

Fingerprint

Visualization
Antennas
Detector circuits
Anechoic chambers
Experiments
Drones

Keywords

  • anechoic chamber
  • Characteristics of directivity
  • Drone
  • Method of Moments
  • UAV
  • Yagi-Antenna

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Media Technology

Cite this

Hagiwara, R., Inata, H., Okouchi, Y., Liu, J., & Shimamoto, S. (2018). 3D radio signal visualization employing drone. In CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference (Vol. 2018-January, pp. 1-2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC.2018.8319301

3D radio signal visualization employing drone. / Hagiwara, Ryota; Inata, Hikari; Okouchi, Yukihiko; Liu, Jiang; Shimamoto, Shigeru.

CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-2.

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

Hagiwara, R, Inata, H, Okouchi, Y, Liu, J & Shimamoto, S 2018, 3D radio signal visualization employing drone. in CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-2, 15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018, Las Vegas, United States, 18/1/12. https://doi.org/10.1109/CCNC.2018.8319301
Hagiwara R, Inata H, Okouchi Y, Liu J, Shimamoto S. 3D radio signal visualization employing drone. In CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-2 https://doi.org/10.1109/CCNC.2018.8319301
Hagiwara, Ryota ; Inata, Hikari ; Okouchi, Yukihiko ; Liu, Jiang ; Shimamoto, Shigeru. / 3D radio signal visualization employing drone. CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-2
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