DocumentCode
2168001
Title
Efficient lattice-reduction-aided MMSE decision-feedback equalization
Author
Fischer, Robert F H
Author_Institution
Lehrstuhl für Informationsübertragung, Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstraße 7/LIT, 91058, Germany
fYear
2011
fDate
22-27 May 2011
Firstpage
3404
Lastpage
3407
Abstract
Since optimum diversity behavior can be achieved, equalization based on lattice basis reduction is of special interest for transmission over MIMO channels. Although the per-symbol equalization complexity is very low, the initial calculation of the required matrices still imposes an enormous burden in arithmetic complexity. In this paper, we present an alternative strategy to calculate the lattice-reduction-aided MMSE DFE. Thereby, operations on an augmented matrix, usually proposed to obtain the desired results, are avoided. A suited modification of the “fast V-BLAST algorithm” proposed by Benesty et al. is given. By means of numerical simulations it is covered, that performance does not suffer but algorithmic complexity can almost be halved.
Keywords
Channel models; Complexity theory; Correlation; Decision feedback equalizers; Feedforward neural networks; Lattices; MIMO; MIMO channel; MMSE DFE; lattice-reduction-aided equalization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location
Prague, Czech Republic
ISSN
1520-6149
Print_ISBN
978-1-4577-0538-0
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2011.5947116
Filename
5947116
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