Cooperative Spectrum Sensing for Cognitive Radios Using Kriged Kalman Filtering

@article{Kim2009CooperativeSS,
  title={Cooperative Spectrum Sensing for Cognitive Radios Using Kriged Kalman Filtering},
  author={Seung-Jun Kim and Emiliano Dall'Anese and Georgios B. Giannakis},
  journal={2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)},
  year={2009},
  pages={392-395}
}
A cooperative cognitive radio (CR) sensing problem is considered, where a number of CRs collaboratively detect the presence of primary users (PUs) by exploiting the novel notion of channel gain (CG) maps. The CG maps capture the propagation medium per frequency from any point in space and time to each CR user. They are updated in real-time using Kriged Kalman filtering (KKF), a tool with well-appreciated merits in geostatistics. In addition, the CG maps enable tracking the transmit-power and… CONTINUE READING

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