Cyclic Feature Based Wideband Spectrum Sensing Using Compressive Sampling

@article{Tian2011CyclicFB,
  title={Cyclic Feature Based Wideband Spectrum Sensing Using Compressive Sampling},
  author={Zhi Tian},
  journal={2011 IEEE International Conference on Communications (ICC)},
  year={2011},
  pages={1-5}
}
Dynamic spectrum access has emerged as a promising paradigm for improving the Dynamic spectrum utilization efficiency of wireless networks. To enable this new paradigm, fast and accurate spectrum sensing has to be performed over very wide bandwidth in noisy channel environments under energy constraints. Cyclic feature based sensing approach works well under noise uncertainty, but requires very high sampling rates in the wideband regime, and hence incurs high energy consumption and hardware… CONTINUE READING
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