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
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;
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
DOI :
10.1109/ICCSC.2008.142