New Improved Decision Aided Turbo Equalization

In this paper we propose a new Turbo Equalization algorithm with Decision Aided Equalizer (DAE). The algorithm takes into account that the soft feedback decisions from the previous iteration contain errors that cannot be neglected. The proposed algorithm finds the error variance and recalculates DAE coefficients at each turbo iteration. The algorithm shows Bit Error Rate (BER) performance improvement relative to the conventional Turbo DAE for severe frequency-selective channels. The achieved improvement is 0.8 dB at BER of 10^-5.