Sparse Channel Estimation for OFDM Systems Based on Sparse Reconstruction by Separable Approximation

@article{Shi2016SparseCE,
  title={Sparse Channel Estimation for OFDM Systems Based on Sparse Reconstruction by Separable Approximation},
  author={Xiao-Lin Shi and Yi-Xin Yang},
  journal={2016 International Conference on Information System and Artificial Intelligence (ISAI)},
  year={2016},
  pages={467-471}
}
In high-rate data orthogonal frequency division multiplex (OFDM) communication systems, many encountered channels trend to have the structure of sparse multipath. The systems over multipath channels usually require that the channel response be known at the receiver and thus channel estimation is required. In this paper, a novel scheme based on the typical least square (LS) and sparse reconstruction by separable approximation (SpaRSA) for the sparse channel estimation is presented to improve the… CONTINUE READING
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Shin-Ya Matsushita

  • G. Gui, L. Xu
  • “Improved adaptive sparse channel estimation…
  • 2015
2 Excerpts

A

  • F. Wan, U. Mitra
  • Molisch, “The modified iterative detector…
  • 2010
3 Excerpts

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