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Blind Channel Estimation for STBC Systems Using Higher-Order Statistics

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5 Author(s)
Choqueuse, V. ; Lab.-STICC, Univ. de Brest, Brest, France ; Mansour, A. ; Burel, G. ; Collin, L.
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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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Wireless Communications, IEEE Transactions on  (Volume:10 ,  Issue: 2 )