Adaptive Volterra-based predistorter design for RF high power amplifiers

This paper presents an efficient digital baseband predistortion linearizer to compensate for the nonlinear distortions induced by RF high power amplifiers in wireless communication systems. The proposed approach utilize a fast RLS filtering algorithm based on V-vector algebra and an indirect learning architecture to update the coefficients of a Volterra-based-predistorter. No preliminary identification of the nonlinear characteristics of the HPA, as required by the conventional pth-order inverse methods, is needed with this approach. Simulation results show that high performance and low computational complexity are achieved in nonlinear systems with a TWT-type power amplifier.