Reduced Complexity In-phase/Quadrature-phase Turbo Equalisation Using Radial Basis Functions
نویسندگان
چکیده
A novel reduced complexity Radial Basis Function (RBF) neural network based equaliser, referred to as the In-phase/Quadrature-phase RBF Equaliser (I/Q-RBFEQ), is proposed. The I/Q-RBF-EQ is employed in the context of turbo equalisation (TEQ) assisted by iterative channel estimation. The performance of the I/Q-RBF-TEQ is characterized in a noise limited environment over an equally weighted, symbol-spaced three-path Rayleigh fading channel. The I/Q-RBFTEQ achieved the same performance as the conventional turbo equaliser, while achieving a complexity reduction by a factor of 1.5 and 109.6 for 4-QAM and 16QAM, respectively.
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Radial Basis Function Assisted Reduced Complexity In-phase/Quadrature-phase Turbo Equalisation of Coded Modulation Schemes
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