@ARTICLE{yang2017clipping,
  author={F. {Yang} and J. {Gao} and S. {Liu} and J. {Song}},
  journal={IEEE Transactions on Broadcasting}, 
  title={Clipping Noise Elimination for OFDM Systems by Compressed Sensing With Partially Aware Support}, 
  year={2017},
  volume={63},
  number={1},
  pages={103-110},
  abstract={The clipping noise, which could cause out-of-band radiation and increase bit error rate in orthogonal frequency division multiplexing systems, is necessary to be mitigated. This paper proposes a clipping noise elimination scheme based on compressed sensing (CS) with partially aware support. Specifically, the clipping noise is reconstructed from the selected reliable observations in the frequency domain with the proposed partially aware support sparsity adaptive matching pursuit algorithm. The proposed method outperforms the conventional clipping noise elimination approaches in the aspects of both the accuracy and robustness by exploiting the partially aware support, which is verified by both theoretical analysis and numerical simulation.},
  keywords={compressed sensing;error statistics;interference suppression;iterative methods;OFDM modulation;orthogonal frequency division multiplexing systems;OFDM systems;clipping noise elimination;compressed sensing;out-of-band radiation;bit error rate;frequency domain;partially aware support sparsity;adaptive matching pursuit;numerical simulation;Receivers;Time-domain analysis;Peak to average power ratio;Reliability;Frequency-domain analysis;Estimation;Clipping noise;orthogonal frequency division multiplexing (OFDM);compressed sensing (CS);partially aware support},
  doi={10.1109/TBC.2016.2606894},
  ISSN={1557-9611},
  month={March},}