DocumentCode
1697126
Title
VLSI Implementation of a Lattice Reduction Algorithm for Low-Complexity Equalization
Author
Gestner, Brian ; Zhang, Wei ; Ma, Xiaoli ; Anderson, David V.
Author_Institution
Sch. of ECE, Georgia Inst. of Technol., Atlanta, GA
fYear
2008
Firstpage
643
Lastpage
647
Abstract
MIMO transmissions (e.g., V-BLAST) have been widely adopted for high-rate high-performance communication systems. When the maximum likelihood (ML) or near-ML detector is employed, full receiver diversity is collected for V-BLAST systems at the cost of high complexity. Conversely, linear equalizers and successive interference cancellation equalizers have much lower complexity, but these equalizers degrade performance due to the loss of diversity. Lattice reduction (LR) techniques have been introduced to restore the diversity of low- complexity equalizers. In this paper we describe the architecture and results of the first VLSI implementation of the CLLL LR algorithm.
Keywords
MIMO communication; VLSI; diversity reception; equalisers; interference suppression; lattice theory; maximum likelihood detection; radio receivers; CLLL LR algorithm; MIMO transmission; V-BLAST system; VLSI implementation; full receiver diversity; interference cancellation equalizer; lattice reduction algorithm; low-complexity linear equalization; multiple-input multiple output system; near maximum likelihood detector; Costs; Degradation; Detectors; Equalizers; Interference cancellation; Lattices; MIMO; Maximum likelihood detection; Performance loss; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems for Communications, 2008. ICCSC 2008. 4th IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1707-0
Electronic_ISBN
978-1-4244-1708-7
Type
conf
DOI
10.1109/ICCSC.2008.142
Filename
4536834
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