A MSE optimized polynomial equalizer for 16QAM and 64QAM constellation

A MSE optimized polynomial equalizer for 16QAM and 64QAM constellation,10.1007/s11760-009-0138-z,Signal, Image and Video Processing,Monika Pinchas

A MSE optimized polynomial equalizer for 16QAM and 64QAM constellation   (Citations: 3)
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Recently, a Maximum Entropy (MaxEnt) algorithm and its derivation called WNEW algorithm were presented by the same author. It was shown that the MaxEnt and WNEW algorithm have improved equalization performance compared with Godard’s, reduced constellation algorithm and the sign reduced constellation algorithm. In this paper, a new equalization method is proposed for the 16QAM and 64QAM input constellation based on the WNEW algorithm which is extended with some polynomials of the equalized output and optimized with the mean square error criteria. According to simulation results, the new equalization method leads to over 15 dB advantage in the residual Intersymbol Interference compared to the results presented by Godard, 10 dB advantage compared with the WNEW algorithm and 5 dB advantage compared with the MaxEnt algorithm.
Journal: Signal, Image and Video Processing , vol. 5, no. 1, pp. 29-37, 2011
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    • ...where p(n) is the convolutional noise, namely, the residualintersymbolinterference(ISI)arisingfromthedifference between cg(n) and c(n) and ˜ w (n) = w (n) ∗ cg (n) .N ext, we turn to the adaptation mechanism of the equalizer which is based on a predefined cost function F(n) that characterizes the intersymbol interference, see [4,6,14,15] and [16]...

    Monika Pinchas. A novel expression for the achievable MSE performance obtained by blin...

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