MIMO channel estimation and tracking based on polynomial prediction with application to equalization

Yau Hee Kho, Desmond P. Taylor

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


This paper presents a multiple-input-multiple-output (MIMO) receiver design with integrated channel estimation and tracking for a time-varying frequency-selective Rician or Rayleigh fading environment. It first extends a polynomial-predictor-based channel estimation and tracking approach to a MIMO system. The structure and complexity of the estimator are similar to that of an optimum estimator using a Kalman filter, but it does not require a priori knowledge of the channel statistics. It employs a fixed-state transition matrix using precomputed polynomial coefficients and can be used in a Rician fading environment without reconfiguration. It is integrated with a MIMO minimum-mean-squared-error decision feedback equalizer, and simulation results show that the system performance using the estimator can be made comparable to that employing a Kalman estimator under a broad range of channel conditions.

Original languageEnglish
Pages (from-to)1585-1595
Number of pages11
JournalIEEE Transactions on Vehicular Technology
Issue number3
Publication statusPublished - May 2008


  • Equalizers
  • Estimation
  • Fading channels
  • Mobile communication
  • Multiple-input-multiple-output (MIMO) systems

ASJC Scopus subject areas

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

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