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VTC
2006
IEEE
100views Communications» more  VTC 2006»
14 years 1 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
GLOBECOM
2009
IEEE
13 years 11 months ago
Near-ML Detection over a Reduced Dimension Hypersphere
Abstract--In this paper, we propose a near-maximum likelihood (ML) detection method referred to as reduced dimension ML search (RD-MLS). The RD-MLS detector is based on a partition...
Jun Won Choi, Byonghyo Shim, Andrew C. Singer
ICC
2009
IEEE
130views Communications» more  ICC 2009»
14 years 1 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
VTC
2007
IEEE
128views Communications» more  VTC 2007»
14 years 1 months ago
Performance of Space-Code-Division Multiple-Access Systems Using Reduced-Rank Detection
Abstract—In this contribution the performance of multipleinput multiple-output space-division, code-division multipleaccess (MIMO SCDMA) is investigated, when the low-complexity ...
Jiliang Zhang, Lie-Liang Yang
TSP
2010
13 years 1 months ago
Low-complexity decoding via reduced dimension maximum-likelihood search
In this paper, we consider a low-complexity detection technique referred to as a reduced dimension maximum-likelihood search (RD-MLS). RD-MLS is based on a partitioned search which...
Jun Won Choi, Byonghyo Shim, Andrew C. Singer, Nam...