An Iterative Receiver for OFDM With Sparsity-Based Parametric Channel Estimation

Thomas Lundgaard Hansen, Peter Bjørn Jørgensen, Mihai Alin Badiu, Bernard Henri Fleury

Research output: Contribution to journalJournal article

3 Citations (Scopus)
200 Downloads (Pure)


In this paper, we design a receiver that iteratively passes soft information between the channel estimation and data decoding stages. The receiver incorporates sparsity-based parametric channel estimation. State-of-the-art sparsity-based iterative receivers simplify the channel estimation problem by restricting the multipath delays to a grid. Our receiver does not impose such a restriction. As a result, it does not suffer from the leakage effect, which destroys sparsity. Communication at near capacity rates in high SNR requires a large modulation order. Due to the close proximity of modulation symbols in such systems, the grid-based approximation is of insufficient accuracy. We show numerically that a state-of-the-art iterative receiver with grid-based sparse channel estimation exhibits a bit-error-rate floor in the high SNR regime. On the contrary, our receiver performs very close to the perfect channel state information bound for all SNR values. We also demonstrate both theoretically and numerically that parametric channel estimation works well in dense channels, i.e., when the number of multipath components is large and each individual component cannot be resolved.
Original languageEnglish
Article number8453915
JournalI E E E Transactions on Signal Processing
Issue number20
Pages (from-to)5454-5469
Number of pages16
Publication statusPublished - 15 Oct 2018



  • Iterative receivers
  • message-passing algorithms
  • sparse channel estimation
  • parametric channel estimation
  • off-the-grid compressed sensing

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