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» On Reduced Complexity Soft-Output MIMO ML detection
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CORR
2004
Springer
116views Education» more  CORR 2004»
13 years 4 months ago
Two Methods for Decreasing the Computational Complexity of the MIMO ML Decoder
We propose use of QR decomposition with sort and Dijkstra's algorithm for decreasing the computational complexity of the sphere decoder that is used for ML detection of signa...
Takayuki Fukatani, Ryutaroh Matsumoto, Tomohiko Uy...
GLOBECOM
2009
IEEE
13 years 8 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
VTC
2006
IEEE
117views Communications» more  VTC 2006»
13 years 10 months ago
Low Complexity Soft Interference Cancellation for MIMO-Systems
— Iterative equalization has emerged as an efficient means of achieving near-capacity detection performance in multiple-antenna (MIMO) systems. However, many proposed detection ...
Steffen Bittner, Ernesto Zimmermann, Gerhard Fettw...
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
13 years 11 months ago
A particle swarm algorithm for symbols detection in wideband spatial multiplexing systems
This paper explores the application of the particle swarm algorithm for a NP-hard problem in the area of wireless communications. The specific problem is of detecting symbols in a...
Adnan Ahmed Khan, Muhammad Naeem, Syed Ismail Shah
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,...