Detecting a Hidden Radio Frequency Transmitter in Noise based on Amplitude using Swarm Intelligence
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.
IdentifiersURN: urn:nbn:no:ntnu:diva-26793Local ID: ntnudaim:8854OAI: oai:DiVA.org:ntnu-26793DiVA: diva2:751701
Downing, Keith, Professor