Electromagnetic Characterization of Installed Antennas Through UAVs
Date Issued
2018
Author(s)
Abstract
The characterization of the radiation pattern of low-frequency antennas is a challenging problem that requires an advanced strategy to reach the expected measurement accuracy. A micro Unmanned Aerial Vehicle (UAV) has been used as a radio frequency test-source to perform such measurements with an innovative technique, obtaining outstanding results. In particular, a Differential Global Navigation Satellite System (DGNSS) based positioning has been introduced through the use of an external GNSS (Global Navigation Satellite System) receiver to obtain the UAV position during the flight with a high level of accuracy. The system has been experimentally tested since a challenging topic is to define all the issues that can occur in the combined use of unmanned aerial systems and electromagnetic components. For this reason, it was investigated to assess sensors problems (such as interferences and positioning troubles with the external sensor) and to define some best practices in the use of such system for this particular field of application to reach the expected result. Finally, an experimental case to demonstrate the suitability of the proposed system is presented in this paper. The radiation pattern of a log-periodic antenna at 250 MHz has been measured with good results.
Coverage
Advances in Service and Industrial Robotics Proceedings of the 26th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2017
All editors
Ferraresi, Carlo; Quaglia, Giuseppe
Volume
49
Start page
471
Conferenece
International Conference on Robotics in Alpe-Adria Danube Region
Conferenece place
Torino, Italy
Conferenece date
21-23 June, 2017
Issn Identifier
2211-0984
Rights
open.access
File(s)![Thumbnail Image]()
![Thumbnail Image]()
Loading...
Name
RAAD_review.pdf
Description
postprint
Size
1.18 MB
Format
Adobe PDF
Checksum (MD5)
2593dd3647b49f040ae5206ad552354f
Loading...
Name
Aicardi2018_Chapter_ElectromagneticCharacterizatio.pdf
Description
Pdf editoriale
Size
2.49 MB
Format
Adobe PDF
Checksum (MD5)
c6d93b49058a71bddb13fd814392b186
