Lattice reduction aided mmse decision feedback equalizers

Jaehyun Park, Joohwan Chun, Franklin T Luk

Research output: Contribution to journalJournal articlepeer-review

7 Citations (Scopus)


The LLL algorithm developed by Lenstra, Lenstra, and Lovasz has been widely studied to improve the conditioning of linear systems of equations that arise in multi-input multi-output (MIMO) antenna systems. In the first part of this correspondence, we show how a certain class of matrices can be transformed so that the LLL algorithm can be carried out efficiently, without compromising its performance. Then, the proposed transformation is applied to the matrix with block lower triangular Toeplitz matrices that arises in the decision feedback equalizer (DFE) to improve the bit error rate (BER) performance with a slight computational overhead.

Original languageEnglish
Pages (from-to)436-441
Number of pages6
JournalIEEE Transactions on Signal Processing
Issue number1
Publication statusPublished - Jan 2011

Scopus Subject Areas

  • Signal Processing
  • Electrical and Electronic Engineering

User-Defined Keywords

  • Decision feedback equalizer
  • lattice reduction
  • Toeplitz matrices


Dive into the research topics of 'Lattice reduction aided mmse decision feedback equalizers'. Together they form a unique fingerprint.

Cite this