Sciweavers

4 search results - page 1 / 1
» Reduced Complexity Sphere Decoding for Square QAM via a New ...
Sort
View
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
GLOBECOM
2008
IEEE
13 years 4 months ago
An Efficient Tree Search for Reduced Complexity Sphere Decoding
The complexity of sphere decoding (SD) has been widely studied due to the importance of this algorithm in obtaining the optimal Maximum Likelihood (ML) performance with lower compl...
Luay Azzam, Ender Ayanoglu
GLOBECOM
2008
IEEE
13 years 11 months ago
Low-Complexity Maximum Likelihood Detection of Orthogonal Space-Time Block Codes
Abstract— In this paper, we propose a low complexity Maximum Likelihood (ML) decoding algorithm for orthogonal spacetime block codes (OSTBCs) based on the real-valued lattice rep...
Luay Azzam, Ender Ayanoglu
ICC
2007
IEEE
245views Communications» more  ICC 2007»
13 years 10 months ago
Low Complexity MMSE Vector Precoding Using Lattice Reduction for MIMO Systems
—In this paper, a lattice-reduction-aided (LRA) With such an approximation, the complexity of VP is greatly minimum mean square error (MMSE) vector precoding (VP) is reduced. pro...
Feng Liu, Ling-ge Jiang, Chen He