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

Research output: Contribution to journal › 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
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 - Jan 2011

Scopus Subject Areas

Signal Processing
Electrical and Electronic Engineering

User-Defined Keywords

Decision feedback equalizer
lattice reduction
Toeplitz matrices

Access to Document

10.1109/TSP.2010.2086447

Cite this

@article{e36fa3a0dfe6461ea0832adf2a7a910c,

title = "Lattice reduction aided mmse decision feedback equalizers",

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.",

keywords = "Decision feedback equalizer, lattice reduction, Toeplitz matrices",

author = "Jaehyun Park and Joohwan Chun and Luk, {Franklin T}",

year = "2011",

month = jan,

doi = "10.1109/TSP.2010.2086447",

language = "English",

volume = "59",

pages = "436--441",

journal = "IEEE Transactions on Signal Processing",

issn = "1053-587X",

publisher = "IEEE",

number = "1",

}

TY - JOUR

T1 - Lattice reduction aided mmse decision feedback equalizers

AU - Park, Jaehyun

AU - Chun, Joohwan

AU - Luk, Franklin T

PY - 2011/1

Y1 - 2011/1

N2 - 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.

AB - 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.

KW - Decision feedback equalizer

KW - lattice reduction

KW - Toeplitz matrices

UR - http://www.scopus.com/inward/record.url?scp=84857818650&partnerID=8YFLogxK

U2 - 10.1109/TSP.2010.2086447

DO - 10.1109/TSP.2010.2086447

M3 - Journal article

AN - SCOPUS:84857818650

SN - 1053-587X

VL - 59

SP - 436

EP - 441

JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

IS - 1

ER -

Lattice reduction aided mmse decision feedback equalizers

Abstract

Scopus Subject Areas

User-Defined Keywords

Access to Document

Other files and links

Fingerprint

Cite this