Cluster-Based Scatterer Identification and Characterization in Vehicular Channels

@inproceedings{Bernad2011ClusterBasedSI,
  title={Cluster-Based Scatterer Identification and Characterization in Vehicular Channels},
  author={Laura Bernad{\'o} and Anna Roma and Nicolai Czink and Alexander Paier and Thomas Zemen},
  booktitle={EW},
  year={2011}
}
In this paper, we present a new approach for the identification of scattering objects in the delay and Doppler domain. Until now, the identification was done visually based on the power delay profile and video material recorded in the measurement campaigns. We propose to use automatic methods based on the local scattering function (LSF), which brings the Doppler domain into play. The LSF is a multitaper estimate of the two-dimensional (2D) power spectral density in delay and Doppler. Each peak… CONTINUE READING

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