Minimum-mean-output-energy blind adaptive channel shortening for multicarrier SIMO transceivers

In this paper, we propose a blind adaptive channel shortening method for designing finite-impulse response time-domain equalizers (TEQs) in single-input multiple-output (SIMO) systems employing multicarrier modulations. The proposed algorithm, which relies on a constrained minimization of the mean-output-energy at the TEQ output, does not require neither a priori knowledge of the channel impulse response nor transmission of training sequences, and admits an effective and computationally-efficient adaptive implementation. Moreover, the proposed TEQ is narrowband-interference resistant and its synthesis only requires an upper bound (rather than the exact knowledge) of the channel order. Numerical simulations are provided to illustrate the advantages of the proposed technique over a recently developed blind channel shortener.