M. Heikkilä, A. Seppänen, M. Koskela, J. Pihonen, J. Engelberg and A. Pouttu, "The Use of Unmanned Aircraft System for the Radio Frequency Interference Measurements," 2019 IEEE International Symposium on Measurements & Networking (M&N), Catania, Italy, 2019, pp. 1-6, https://doi.org/10.1109/IWMN.2019.8805039
The use of unmanned aircraft system for the radio frequency interference measurements
|Author:||Heikkilä, Marjo1; Seppänen, Arto1; Koskela, Marjut1;|
1Centria University of Applied Science Ylivieska, Finland
2The Finnish Transport and Communications Agency Traficom Helsinki, Finland
3University of Oulu Oulu, Finland
|Online Access:||PDF Full Text (PDF, 9.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020050525122
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2020-05-05
The unmanned aircraft systems (UAS) are commonly used for aerial photography, express delivery for packets or video monitoring. The UAS technology can help responding to the growing demands of the frequency monitoring by national radiocommunication authorities (NRAs). This article presents a practical usage trial of an unmanned aircraft for monitoring the spectrum usage and finding the interference location. The monitoring of spectrum usage is one part of the NRAs’ process for guarantee user compliance with radio license conditions. Finding illegal or malfunctioning transmitters is a challenging task especially in urban environment, due to multi-path propagation conditions. This study focuses on practical assessment of the method for determining accurate location of radio frequency interference sources from the buildings using the UAS technology. The practicability of the UAS technology usage in spectrum monitoring activities was under the evaluation. This study showed promising results that UAS with the measurement equipment setup suits NRAs’ as a tool for mobile monitoring on the air.
IEEE International Workshop Measurements and Networking proceedings (M&N)
|Pages:||1 - 6|
2019 IEEE International Workshop on Measurements & Networking (M&N) 2019, 8-10 July 2019, Catania, Italy
IEEE International Workshop on Measurements and Networking
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work has been carried out in the framework of the IMAGE 5G project. The authors would like to acknowledge IMAGE 5G research consortium that consist of Centria University of Applied Sciences, Nokia, PehuTec Oy, Siipotec Oy, Pohjonen Group Oy, The Finnish Transport and Communications Agency, Finnish meteorological institute and Business Finland – The Finnish Funding Agency for Innovation.
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