Spatio-temporal characterization of airborne radio frequency environments

@article{Wagle2011SpatiotemporalCO,
  title={Spatio-temporal characterization of airborne radio frequency environments},
  author={Neeti Wagle and Eric W. Frew},
  journal={2011 IEEE GLOBECOM Workshops (GC Wkshps)},
  year={2011},
  pages={1269-1273}
}
This paper presents a nonparametric model for learning the radio frequency signal propagation in airborne environments. Spatio-temporal Gaussian processes are used to capture variations from the empirical path loss model. The Gaussian process is constructed using signal strength measurements from a known emitter. We show how this model can be used for improving the localization of an unknown emitter in the same environment. 

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Key Quantitative Results

  • The spatio-temporal GP provides a significant reduction in both the mean and standard deviation of the errors with 25.92%, 16.76% and 66.51% improvements in the mean error over the spatial GPs for the three emitters, respectively.

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