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
Link To Document :
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