TY - GEN
T1 - Equalization of MIMO-ISI Channels based on Gaussian Message Passing in Factor Graphs
AU - Haselmayr, Werner
AU - Etzlinger, Bernhard
AU - Springer, Andreas
PY - 2012/8
Y1 - 2012/8
N2 - In this paper we consider a soft-input soft-output
equalizer, for MIMO intersymbol interference channels, used
in a turbo equalization scheme. We derive the equalizer on
the basis of a cyclic factor graph representation and the sumproduct
algorithm, with two different message schedules (serial
and parallel). In the sum-product algorithm we use Gaussian
messages, which results in a low-complexity LMMSE equalizer
implementation. Computer simulations show that, for the turbo
equalization application, the proposed equalizer has a good
bit error rate performance compared with the optimal MAP
equalizer, while achieving a remarkable reduction in complexity.
AB - In this paper we consider a soft-input soft-output
equalizer, for MIMO intersymbol interference channels, used
in a turbo equalization scheme. We derive the equalizer on
the basis of a cyclic factor graph representation and the sumproduct
algorithm, with two different message schedules (serial
and parallel). In the sum-product algorithm we use Gaussian
messages, which results in a low-complexity LMMSE equalizer
implementation. Computer simulations show that, for the turbo
equalization application, the proposed equalizer has a good
bit error rate performance compared with the optimal MAP
equalizer, while achieving a remarkable reduction in complexity.
UR - https://ieeexplore.ieee.org/document/6325202
UR - https://www.scopus.com/pages/publications/84870790645
U2 - 10.1109/ISTC.2012.6325202
DO - 10.1109/ISTC.2012.6325202
M3 - Conference proceedings
SN - 9781457721151
T3 - International Symposium on Turbo Codes and Iterative Information Processing, ISTC
SP - 76
EP - 80
BT - Proceedings of IEEE 7th International Symposium on Turbo Codes and Iterative Information Processing
ER -