Fast adaptive RLS algorithms for polar polynomial predistorters

摘要

In this paper, fast adaptive polar polynomial predistorters using the recursive-least-square (RLS) concept are presented. Based on the polar predistortion polynomial representation, the recursive relations are derived to formulate the suitable RLS procedure. Two other RLS-based structures are also proposed: the simplified RLS for low complexity and the cascaded RLS for faster convergence. Their complexity and performance in terms of convergence rate and out-of-band power emission are discussed.