Title :
Blind Channel Estimation for STBC Systems Using Higher-Order Statistics
Author :
Choqueuse, Vincent ; Mansour, Ali ; Burel, Gilles ; Collin, Ludovic ; Yao, Koffi
Author_Institution :
Lab.-STICC, Univ. de Brest, Brest, France
fDate :
2/1/2011 12:00:00 AM
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.
Keywords :
MIMO communication; channel estimation; higher order statistics; radio transmitters; space division multiplexing; space-time block codes; MIMO; blind channel estimation; channel matrix estimation; higher-order statistics; kurtosis-based cost function; linear STBC; nonOrthogonal STBC; noncooperative context; quasi-orthogonal STBC; second-order statistics approach; space-time block coded system; space-time encoding; spatial multiplexing; statistical independence; subspace approach; transmitter; zero-forcing equalization; MIMO; channel estimation; higher-order statistics; independent component analysis; space time coding;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2010.112310.091576