Low-complexity MAP-based successive data detection for coded OFDM systems over highly mobile wireless channels

Erdal Panayirci, Hakan Doǧan, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

27 Scopus citations


This paper is concerned with the challenging and timely problem of data detection for coded orthogonal frequency-division multiplexing (OFDM) systems in the presence of frequency-selective and very rapidly time varying channels. New low-complexity maximum a posteriori probability (MAP) data detection algorithms are proposed based on sequential detection with optimal ordering (SDOO) and sequential detection with successive cancellation (SDSC). The received signal vector is optimally decomposed into reduced dimensional subobservations by exploiting the banded structure of the frequency-domain channel matrix whose bandwidth is a parameter to be adjusted according to the speed of the mobile terminal. The data symbols are then detected by the proposed algorithms in a computationally efficient way by means of the Markov chain Monte Carlo (MCMC) technique with Gibbs sampling. The impact of the imperfect channel state information (CSI) on the bit error rate (BER) performance of these algorithms is investigated analytically and by computer simulations. A detailed computational complexity investigation and simulation results indicate that, particularly, the algorithm based on SDSC has significant performance and complexity advantages and is very robust against channel estimation errors compared with existing suboptimal detection and equalization algorithms proposed earlier in the literature.

Original languageEnglish (US)
Article number5783526
Pages (from-to)2849-2857
Number of pages9
JournalIEEE Transactions on Vehicular Technology
Issue number6
StatePublished - Jul 2011

All Science Journal Classification (ASJC) codes

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


  • Fast time-varying channels
  • Gibbs sampling
  • Markov chain
  • Monte Carlo technique
  • intercarrier interference (ICI)
  • maximum a posteriori probability (MAP) detection
  • orthogonal frequency-division multiplexing (OFDM)


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