Semiblind joint channel estimation and equalization for OFDM systems in rapidly varying channels

Habib Şenol, Erdal Panayirci, H. Vincent Poor, Onur Oǧuz, Luc Vandendorpe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


We describe a new joint iterative channel estimation and equalization algorithm for joint channel estimation and data detection for orthogonal frequency division multiplexing (OFDM) systems in the presence of frequency selective and rapidly timevarying channels. The algorithm is based on the expectation maximization-maximum a posteriori (EM-MAP) technique which is very suitable for the multicarrier signal formats. The algorithm leads to a receiver structure that yields the equalized output, using the channel estimates. The pilot symbols are employed to estimate the initial channel coefficients effectively and unknown data symbols are averaged out in the algorithm. The band-limited, discrete cosine serial expansion of low dimensionality is employed to represent the time-varying fading channel. In this way, the resulting reduced dimensional channel coefficients are estimated iteratively with tractable complexity. The extensive computer simulations show that the algorithm has excellent symbol error rate (SER) and mean square error (MSE) performances for very high mobility even during the initialization step.

Original languageEnglish (US)
Title of host publication2010 Future Network and Mobile Summit
StatePublished - 2010
Externally publishedYes
Event2010 Future Network and Mobile Summit - Florence, Italy
Duration: Jun 16 2010Jun 18 2010

Publication series

Name2010 Future Network and Mobile Summit


Other2010 Future Network and Mobile Summit

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications


  • Channel equalization
  • Channel estimation
  • EM algorithm
  • OFDM systems
  • Time-varying channel


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