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ICC
2007
IEEE
13 years 11 months ago
Statistical Pruning for Near Maximum Likelihood Detection of MIMO Systems
Abstract— We show a statistical pruning approach for maximum likelihood (ML) detection of multiple-input multiple-output (MIMO) systems. We present a general pruning strategy for...
Tao Cui, Tracey Ho, Chintha Tellambura
ICC
2009
IEEE
130views Communications» more  ICC 2009»
13 years 11 months ago
A New Reduced Complexity ML Detection Scheme for MIMO Systems
Abstract— For multiple-input multiple-output (MIMO) systems, the optimum maximum likelihood (ML) detection requires tremendous complexity as the number of antennas or modulation ...
Jin-Sung Kim, Sung Hyun Moon, Inkyu Lee
CORR
2006
Springer
156views Education» more  CORR 2006»
13 years 4 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
VTC
2008
IEEE
236views Communications» more  VTC 2008»
13 years 11 months ago
Apriori-LLR-Threshold-Assisted K-Best Sphere Detection for MIMO Channels
—When the maximum number of best candidates retained at each tree search level of the K-Best Sphere Detection (SD) is kept low for the sake of maintaining a low memory requiremen...
Li Wang, Lei Xu, Sheng Chen, Lajos Hanzo
CORR
2006
Springer
152views Education» more  CORR 2006»
13 years 4 months ago
On Reduced Complexity Soft-Output MIMO ML detection
In multiple-input multiple-output (MIMO) fading channels maximum likelihood (ML) detection is desirable to achieve high performance, but its complexity grows exponentially with th...
Massimiliano Siti, Michael P. Fitz