A linear fractional semidefinite relaxation approach to maximum-likelihood detection of higher-order QAM OSTBC in unknown channe

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$A linear fractional semidefinite relaxation approach to maximum-likelihood detection of higher-order QAM OSTBC in unknown channe$

This paper considers the blind maximum-likelihood (ML) detection problem for orthogonal space

Tsung-Hui Chang, Chien-Wei Hsin, Wing-Kin Ma, Chon

Artificial Intelligence | Blind Ml Detection | ML Detection Problem | Quasi-convex Problem | TSP 2010 |

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Added	22 May 2011
Updated	22 May 2011
Type	Journal
Year	2010
Where	TSP
Authors	Tsung-Hui Chang, Chien-Wei Hsin, Wing-Kin Ma, Chong-Yung Chi

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