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Detecting a Hidden Radio Frequency Transmitter in Noise based on Amplitude using Swarm Intelligence
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Computer and Information Science.
2014 (English)MasteroppgaveStudent thesis
Abstract [en]

Radio Frequency transmitters are becoming ubiquitous. For instance people often carry around a mobile phone containing several such transmitters. Having the ability to detect and locate such transmitters in noisy environments can there- fore be very beneficial in search and rescue and disaster management. By using amplitude measurements, simple hardware can be deployed on small and cheap Unmanned Aerial Vehicles. The use of many cooperative Unmanned Aerial Vehi- cles should enable rapid search and more precise geolocation of such transmitters. This thesis explores different search strategies to use on autonomous agents trying to detect a hidden Radio Frequency transmitter. By testing different Swarm Intelligence strategies important insight into the search process is gained. The experiments were run on a simulator to enable rapid testing of different strategies. In addition to testing baseline algorithms from the literature, a new strategy is created, the Call-out strategy. The work done, shows that few cooperating searchers should prefer exploita- tion of the transmitted signal over exploration. However, as more agents are employed this focus is shifted over to exploration. In addition, this work show that several simple searchers can perform the task with high performance. This shows that Swarm Intelligence can be used to direct several cooperative searchers in detecting a hidden Radio Frequency transmitter.

Place, publisher, year, edition, pages
Institutt for datateknikk og informasjonsvitenskap , 2014. , 120 p.
URN: urn:nbn:no:ntnu:diva-26793Local ID: ntnudaim:8854OAI: diva2:751701
Available from: 2014-10-01 Created: 2014-10-01 Last updated: 2014-10-01Bibliographically approved

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