An efficient algebraic predistorter for compensating the nonlinearity of memory amplifiers

Baseband adaptive nonlinear predistorters are the most effective schemes in compensating the nonlinear effects of high power amplifiers in communication systems. The existing predistorters generally realized by the look-up table and polynomial methods. Although many well-considered algorithms based on the two methods have been proposed and implemented, their performances are restricted by either the table storage limitation or the increasing complexity burden of polynomial order. In this paper, we propose an algorithm using novel filter algebraic solution to construct the adaptive memory predistorters. Our proposed algorithm outperforms the existing polynomial predistorters and enjoys the comparable low complexity as LUT PDs. The simulation results confirm our point in terms of normalized mean square error and spectral re-growth. Furthermore, low computational complexity, small memory unit requirement can provide a simple VLSI structure implementation in the practical applications.