Separating the wheat from the chaff: Sensing wireless microphones in TVWS

@article{Sun2012SeparatingTW,
  title={Separating the wheat from the chaff: Sensing wireless microphones in TVWS},
  author={Huanhuan Sun and Taotao Zhang and Wenyi Zhang},
  journal={2012 IEEE International Symposium on Dynamic Spectrum Access Networks},
  year={2012},
  pages={282-282}
}
The inability for most existing detection methods to effectively distinguish between a wireless microphone signal and a sinusoidal continuous wave (CW) interference has led to an excessively high false alarm rate and thus severely limited the utility of sensing-based cognitive transmission in the TV white space (TVWS) spectrum. Two potential solutions are proposed, in which the first solution focuses on signal's periodogram and formulates the decision model as an one-sided test based on… 

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