MLSE and MAP equalization for transmission over doubly selective channels

Imad Barhumi, Marc Moonen

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)


In this paper, equalization for transmission over doubly selective channels is discussed. The symbol-by-symbol maximum a posteriori probability (MAP) equalizer and the maximum-likelihood sequence estimation (MLSE) are discussed. The doubly selective channel is modeled using the basis expansion model (BEM). Using the BEM allows for an easy and low-complexity mechanism for constructing the channel trellis to implement the MLSE and the MAP equalizer. The MLSE and the MAP equalizer are implemented for single-carrier transmission and for multicarrier transmission implemented using orthogonal frequency-division multiplexing (OFDM). In this scenario, a complexity-diversity tradeoff can be observed. In addition, we propose a joint estimation and equalization technique for doubly selective channels. In this joint estimation and equalization technique, the channel state information (CSI) is obtained in an iterative manner. Simulation results show that the performance of the joint channel estimation and equalization approaches the performance when perfect CSI is available at the receiver.

Original languageEnglish
Pages (from-to)4120-4128
Number of pages9
JournalIEEE Transactions on Vehicular Technology
Issue number8
Publication statusPublished - 2009


  • Channel estimation
  • Doubly selective channels
  • Maximum a posteriori qualizer
  • Maximum-likelihood sequence estimation (MLSE)
  • Orthogonal frequency-division multiplexing (OFDM)
  • Single-carrier (SC) transmission

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


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