Blind Channel Estimation for STBC Systems Using Higher-Order Statistics

Abstract : 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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Contributor : Vincent Choqueuse <>
Submitted on : Wednesday, February 16, 2011 - 2:49:05 PM
Last modification on : Thursday, December 19, 2019 - 1:37:21 AM
Long-term archiving on: Tuesday, May 17, 2011 - 2:58:03 AM

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Vincent 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, Institute of Electrical and Electronics Engineers, 2011, 10 (2), pp.495 - 505. ⟨10.1109/TWC.2010.112310.091576⟩. ⟨hal-00566506⟩

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