Block based Partial update NLMS Algorithm for Adaptive Decision Feedback Equalization

Abstract

Decision feedback equalizers are commonly employed to reduce the intersymbol interference that is caused by the time dispersive channel.In this paper a block based partial update normalized LMS algorithm is proposed,which significantly reduces the computational complexity over the other LMS based algorithms.The important characteristic of this algorithm is that only a part of the filter coefficients are updated in every iteration.The frequency domain representation facilitates, easier to choose step size with which the proposed algorithm convergent in the mean squared sense, whereas in the time domain it requires the information on the largest eigen value of the correlation matrix of the input sequence. Simulation studies shows that the proposed realization gives good performance characteristic in terms of convergence rate.