Maximum-likelihood detection for distributed space-time block coding

Murat Uysal, Hakam Mheidat

Research output: Contribution to journalConference articlepeer-review


We investigate maximum likelihood (ML) sequence estimation for distributed space-time block coded cooperative diversity schemes over time-varying fading channels without assuming channel knowledge. The quadratic form of the ML receiver in this case does not readily lend itself to efficient implementation. However, under quasi-static channel conditions, the likelihood function reduces to a simple form similar to the classical correlation receiver in matrix notation. It also allows the development of a recursive expression that can be easily implemented by a Viterbi-type algorithm with a reasonable complexity. Although the receiver is sub-optimum for the non-static case, its performance is close to the optimum for a range of SNRs. It also outperforms pilot symbol assisted techniques, which are widely used in practical applications.

Original languageEnglish (US)
Pages (from-to)2419-2423
Number of pages5
JournalIEEE Vehicular Technology Conference
Issue number4
StatePublished - 2004
Event2004 IEEE 60th Vehicular Technology Conference, VTC2004-Fall: Wireless Technologies for Global Security - Los Angeles, CA, United States
Duration: Sep 26 2004Sep 29 2004


  • Cooperative diversity
  • Fading channels
  • Maximum likelihood sequence estimation
  • Space-time block coding

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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