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GLOBECOM
2008
IEEE
13 years 11 months ago
A Maximum-Likelihood Decoder with a New Reduction Strategy for MIMO Channel Systems
—An efficient maximum-likelihood decoder with a new reduction strategy is proposed for linear MIMO channel systems. Unlike the current reduction strategies which only reorder th...
Xiao-Wen Chang, Xiaohua Yang
GLOBECOM
2007
IEEE
13 years 11 months ago
Reduced Complexity Sphere Decoding for Square QAM via a New Lattice Representation
— Sphere decoding (SD) is a low complexity maximum likelihood (ML) detection algorithm, which has been adapted for different linear channels in digital communications. The comple...
Luay Azzam, Ender Ayanoglu
ICC
2008
IEEE
137views Communications» more  ICC 2008»
13 years 11 months ago
Optimal Precoding for Orthogonalized Spatial Multiplexing in MIMO Wireless Systems
— This paper proposes a new precoding algorithm for orthogonalized spatial multiplexing (OSM) systems over flatfading multiple-input multiple-output (MIMO) channels. The OSM sch...
Young-Tae Kim, Heunchul Lee, Seokhwan Park, Inkyu ...
JSAC
2008
115views more  JSAC 2008»
13 years 5 months ago
Optimal precoding for orthogonalized spatial multiplexing in closed-loop MIMO systems
In this paper, we propose a new precoding algorithm for orthogonalized spatial multiplexing (OSM) systems over flatfading multiple-input multiple-output (MIMO) channels. The OSM sc...
Young-Tae Kim, Heunchul Lee, Seokhwan Park, Inkyu ...
CORR
2006
Springer
156views Education» more  CORR 2006»
13 years 5 months ago
Complex Lattice Reduction Algorithm for Low-Complexity MIMO Detection
Recently, lattice-reduction-aided detectors have been proposed for multiple-input multiple-output (MIMO) systems to give performance with full diversity like maximum likelihood rec...
Ying Hung Gan, Cong Ling, Wai Ho Mow