Two novel memory polynomial models for modeling of RF power amplifiers
Journal article, 2015

Two novel memory polynomial models are derived based on physical knowledge of a general power amplifier (PA). The derivations are given in detail to facilitate derivations of other model structures. The model error in terms of normalized mean square error (NMSE) and adjacent channel error power ratio (ACEPR) of the novel model structures are compared to that of established models based on the number of parameters using data measured on two different amplifiers, one high-power base-station PA and one low-power general purpose amplifier. The novel models show both lower NMSE and ACEPR for any chosen number of parameters compared to the established models. The low model errors make the novel models suitable candidates for both modeling and digital predistortion.

Digital Predistortion

Volterra Model

Power amplifiers and linearizers


Per Landin

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

K. Barbe

Vrije Universiteit Brussel (VUB)

W. Van Moer

Vrije Universiteit Brussel (VUB)

Magnus Isaksson

University of Gävle

P. Handel

Royal Institute of Technology (KTH)

International Journal of Microwave and Wireless Technologies

1759-0787 (ISSN) 1759-0795 (eISSN)

Vol. 7 1 19-29

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering



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1/9/2019 2