Iterative computation of FIR MIMO MMSE-DFE with flexible complexity-performance tradeoff

Jing Wang, Yi Jiang, Gerald E Sobelman

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

In recent years, single-carrier (SC) communication for intersymbol interference (ISI) channels has enjoyed a revived interest. Its principal advantage over the multi-carrier scheme is its lower peak-to-average power ratio (PAPR). In this paper, we propose a new fast iterative algorithm to obtain the optimal finite impulse response (FIR) minimum-mean-square-error decision feedback equalizer (MMSE-DFE) for multiple-input multiple-output (MIMO) SC communication systems over ISI channels based on the QR decomposition of an augmented Toeplitz channel matrix. The proposed algorithm is not only computationally efficient but also very frugal in its memory usage. The algorithm applies to MIMO systems with any number of transmitting and receiving antennas, either balanced or unbalanced. The iterative nature of the proposed algorithm enables a flexible choice of $Nf , the length of the feedforward filter (FFF), which leads to a controllable trade-off between complexity and performance. A conversion from time-domain equalization (TDE) to a hybrid DFE (HDFE) can be used to achieve lower complexity when $N f becomes large. Complexity analysis suggests a significant improvement over the prior art of TDE.

Original languageEnglish (US)
Article number6450114
Pages (from-to)2394-2404
Number of pages11
JournalIEEE Transactions on Signal Processing
Volume61
Issue number9
DOIs
StatePublished - Apr 22 2013

Keywords

  • Channel capacity
  • ISI channel
  • MIMO
  • MMSE-DFE
  • QR decomposition
  • TDE to hybrid DFE
  • complexity-performance tradeoff
  • single-carrier communication

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