Paper presented at Evostar 2017 Amsterdam Netherland
Authors: S. Engebråten, J. Moen and K. Glette (sondre.engebraten (a) ffi.no)
This paper shows the viability of using meta-heuristics to faster and more precisely locate RF emitters. The chosen method Power Difference of Arrival, requires a significant amount of computation to estimate an emitter location from sensor readings. By using meta-heuristics, more specifically a variant of Nelder Mead, the computational requirements can halved or even reduced by two orders of magnitude if absolute reliability is not required.
Paper can be found at http://link.springer.com/chapter/10.1007/978-3-319-55792-2_14
Engebråten S.A., Moen J., Glette K. (2017) Meta-heuristics for Improved RF Emitter Localization. In: Squillero G., Sim K. (eds) Applications of Evolutionary Computation. EvoApplications 2017. Lecture Notes in Computer Science, vol 10200. Springer, Cham
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