An adaptive predistortion linearizer using a digital signal processor

This paper presents the new architecture of an adaptive predistortion linearizer. In the proposed linearizer, most of the processes, including the predistortion, are performed with a digital signal processor (DSP). The recursive least squares (RLS) algorithm is employed for the optimization process to minimize the errors between the predistorter and postdistorter output signals. Simulation results demonstrate that the spectral spreading is reduced by, about 30 dB. The convergence and reconvergence performance of the linearizer is also satisfactory. (C) 2001 John Wiley & Sons, Inc.