A truly recursive blind equalization algorithm
نویسنده
چکیده
This paper describes a new adaptive blind equalization algorithm based on a truly IIR structure that enables the correction of ISI over severely distorted channels. The recursive feedback filter is in lattice form to allow an easy monitoring of the filter stability. During blind training, the adaptation of the equalizer is carried out via the usual stochastic gradient algorithm by minimizing the Shtrom-Fan cost function, a CMA like functional robust to illconvergence. Once in steady state, the algorithm switches automatically into a classical DFE structure adapted via the DDMMSE criterion. Simulation results show that this new equalizer outperforms most of the traditional blind FIR equalizers.
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