RFDesign.wikiRadio-frequency design, explained

How does digital predistortion linearize a PA?

From RF Design Wiki · By the · Published · Last reviewed · How we research

Digital predistortion (DPD) applies the inverse of the PA’s nonlinear transfer characteristic to the baseband signal so that the cascade is linear. An observation receiver samples the PA output, and an adaptive algorithm fits a behavioral model, commonly a memory polynomial or generalized memory polynomial, to capture AM-AM, AM-PM and memory effects.[1][2]

What linearization methods exist?

[1]

What are memory effects?

The PA’s output depends on past inputs as well as the present one, due to bias-network impedances at the envelope frequency, thermal time constants and charge trapping (notably in GaN). Memoryless models fail for wide bandwidths; memory polynomials include delayed terms.

What does DPD require from the hardware?

An observation path with bandwidth several times the signal bandwidth (to capture intermodulation, commonly 3–5×), a DAC/transmit path with the same expanded bandwidth, and accurate time alignment. Results are judged by ACLR and EVM.

Frequently asked questions

Can DPD fix a saturated PA?

No; DPD cannot exceed saturation, so peak power must remain within capability.

Why is wider bandwidth hard for DPD?

Required sampling rates scale with signal bandwidth, and memory effects grow.

Is DPD used in handsets?

Simplified forms are increasingly used; base stations use full adaptive DPD.

References

Online sources accessed October 21, 2026; printed works cited by edition. See all sources.

  1. “High-Linearity RF Amplifier Design”. P. B. Kenington, Artech House. 2000.
  2. “RF Power Amplifiers for Wireless Communications, 2nd ed.”. S. C. Cripps, Artech House. 2006.