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Article Dans Une Revue IEEE Transactions on Wireless Communications Année : 2011

Blind Channel Estimation for STBC Systems Using Higher-Order Statistics

Résumé

This paper describes a new blind channel estimation algorithm for Space-Time Block Coded (STBC) systems. The proposed method exploits the statistical independence of sources before space-time encoding. The channel matrix is estimated by minimizing a kurtosis-based cost function after Zero-Forcing equalization. In contrast to subspace or Second-Order Statistics (SOS) approaches, the proposed method is more general since it can be employed for the general class of linear STBCs including Spatial Multiplexing, Orthogonal, quasi-Orthogonal and Non-Orthogonal STBCs. Furthermore, unlike other approaches, the method does not require any modification of the transmitter and, consequently, is well-suited for non-cooperative context. Numerical examples corroborate the performance of the proposed algorithm.
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Dates et versions

hal-00566506 , version 1 (16-02-2011)

Identifiants

Citer

Vincent V. Choqueuse, Ali Mansour, Gilles Burel, Ludovic Collin, Koffi Clément Yao. Blind Channel Estimation for STBC Systems Using Higher-Order Statistics. IEEE Transactions on Wireless Communications, 2011, 10 (2), pp.495 - 505. ⟨10.1109/TWC.2010.112310.091576⟩. ⟨hal-00566506⟩
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