A Robust Digital Baseband Predistorter ConstructedUsing Memory Polynomials

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A Robust Digital Baseband Predistorter ConstructedUsing Memory Polynomials

Abstract—Power amplifiers (PAs) are inherently nonlinear
devices and are used in virtually all communications systems.
Digital baseband predistortion is a highly cost-effective way
to linearize PAs, but most existing architectures assume that
the PA has a memoryless nonlinearity. For wider bandwidth
applications such as wideband code-division multiple access
(WCDMA) or wideband orthogonal frequency-division multiplexing
(W-OFDM), PA memory effects can no longer be ignored,
and memoryless predistortion has limited effectiveness. In this
paper, instead of focusing on a particular PA model and building
a corresponding predistorter, we focus directly on the predistorter
structure. In particular, we propose a memory polynomial model
for the predistorter and implement it using an indirect learning
architecture. Linearization performance is demonstrated on a
three-carrier WCDMA signal.

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