Frequency offset and channel estimation in cooperative relay networks

Kyeong Jin Kim, Ronald A. Iltis, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


A new joint frequency offset and channel estimator for cooperative relay networks operating over time-varying multipath channels based on Gauss-Hermite integration (GHI) and approximate Rao-Blackwellization (GHI-ARB) is proposed. The resulting algorithm incorporates parallel Schmidt-Kalman filters (SKFs) to separate all interfering links at the destination receiver. In each SKF, Rao-Blackwellization is conditioned on a GHI integration point. Using the Rao-Blackwellization for the frequency offset in the Gauss-Hermite filter (GHF), a joint channel and frequency offset can be efficiently estimated by the proposed GHI-approximate Rao-Blackwellization-based SKF (GHI-ARB-SKF) in the relay network. Simulation results show the superiority of the proposed GHI-ARB-SKF over a Rao-Blackwellized unscented-Kalman-filter (GHI-ARB-UKF)-based approach.

Original languageEnglish (US)
Article number5928439
Pages (from-to)3142-3155
Number of pages14
JournalIEEE Transactions on Vehicular Technology
Issue number7
StatePublished - Sep 2011

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Automotive Engineering


  • Adaptive decode-and-forward (ADF) relay protocol
  • Gauss-Hermite filter (GHF)
  • Gauss-Hermite integration (GHI)
  • approximate Rao-Blackwellization (ARB)
  • joint channel and frequency offset estimation
  • parallel Schmidt-Kalman filters (SKFs)
  • relay networks


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