Sparse coding for transform domain-based sparse OFDM channel estimation


Nazzal M., Aygul M. A., Gorcin A., ARSLAN H.

27th Signal Processing and Communications Applications Conference, SIU 2019, Sivas, Turkey, 24 - 26 April 2019, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2019.8806326
  • City: Sivas
  • Country: Turkey
  • Keywords: Channel estimation, OFDM, Sparse coding
  • Istanbul Medipol University Affiliated: Yes

Abstract

In orthogonal frequency division multiplexing (OFDM) systems, frequency domain pilot-aided channel estimation is based on interpolating a down-sampled version of the channel frequency response. This is achieved by transforming the channel frequency response to the time domain, eliminating time-domain channel coefficients beyond a given delay spread, and transforming back to the frequency domain. A sliding window is used to identify the most dominant channel coefficients within a prescribed delay spread which will be retained, where others will be eliminated. This setting relies on assuming a consecutive channel tap distribution and overlooks possible channel sparsity. To take advantage of this sparsity, we propose a method for obtaining the channel taps as a sparse recovery process. The proposed method is shown to substantially improve the channel estimation quality. The improvement is commensurate with the sparsity of the channel.