Sciweavers

44 search results - page 1 / 9
» A New Reduced Complexity ML Detection Scheme for MIMO System...
Sort
View
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
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
ICC
2007
IEEE
150views Communications» more  ICC 2007»
13 years 11 months ago
Joint Maximum Likelihood Channel Estimation and Data Detection for MIMO Systems
— Blind and semiblind adaptive schemes are proposed for joint maximum likelihood (ML) channel estimation and data detection for multiple-input multiple-output (MIMO) systems. The...
Mohammed Abuthinien, Sheng Chen, Andreas Wolfgang,...
VTC
2006
IEEE
100views Communications» more  VTC 2006»
13 years 10 months ago
List Stack Detection with Reduced Search Space for MIMO Communication Systems
The interest in near-ML detection algorithms for Multiple-Input/lMultiple-Output (MIMO) systems have always been high due to their drastic performance gain over suboptimal algorith...
Woon Hau Chin, Sumei Sun
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