Abstract

This work presents a performance improvement technique for supply-modulated (SM) power amplifiers (PAs). Differently from the typical solutions, the SM PA is treated as a double-input nonlinear dynamic device, for which a dynamic supply shaping function and an RF digital predistorter are jointly identified by means of a gradient-based multi-objective optimization (MOO) technique. Simulation-based tests show that the MOO-based optimal inputs can greatly enhance the SM PA effectively exploring, in an automatic way, the best compromise between linearity and efficiency.

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