Lattice reduction aided mmse decision feedback equalizers

Jaehyun Park; Joohwan Chun; Franklin T LUK

doi:10.1109/TSP.2010.2086447

Lattice reduction aided mmse decision feedback equalizers

Jaehyun Park, Joohwan Chun, Franklin T LUK

Department of Mathematics

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

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 language	English
Article number	5599315
Pages (from-to)	436-441
Number of pages	6
Journal	IEEE Transactions on Signal Processing
Volume	59
Issue number	1
DOIs	https://doi.org/10.1109/TSP.2010.2086447
Publication status	Published - 2011

Scopus Subject Areas

Signal Processing
Electrical and Electronic Engineering

User-Defined Keywords

Decision feedback equalizer
lattice reduction
Toeplitz matrices

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10.1109/TSP.2010.2086447

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Lattice reduction aided mmse decision feedback equalizers

Abstract

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