1 June 1992 Blind adaptive equalizers for quadrature amplitude modulated communication systems based on convex cost functions
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Abstract
Blind adaptive channel equalizers are important devices to remove channel distortion in high data-rate, bandlimited digital communication systems when the transmission of a training sequence is impractical or very costly. Traditional blind equalization algorithms adapt the equalizer parameters to minimize some specially designed non-MSE cost functions. These algorithms can experience local convergence problems and can thereby result in insufficient or no removal of channel distortion. We present a new quadrature amplitude modulated blind equalization scheme that is globally convergent in the equalizer parameter space to a compact set containing the desired ideal equalizer parameter setting. Our new algorithm is based on a convex cost function and a linear constraint on the equalizer parameters. For a generic class of channels, this new algorithm results in the equalizer parameter convergence to a unique global minimum achieving intersymbol interference suppression and carrier phase error removal. Different implementation approaches are assessed and simulation results are shown to confirm the theoretical global convergence of the new algorithm.
Rodney A. Kennedy, Rodney A. Kennedy, Zhi Ding, Zhi Ding, } "Blind adaptive equalizers for quadrature amplitude modulated communication systems based on convex cost functions," Optical Engineering 31(6), (1 June 1992). https://doi.org/10.1117/12.57511 . Submission:
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