TY - JOUR
T1 - Lattice reduction aided mmse decision feedback equalizers
AU - Park, Jaehyun
AU - Chun, Joohwan
AU - Luk, Franklin T
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
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 -