A Real-Valued 4D Memory Polynomial Algorithm for Mixer Modeling
Paper i proceeding, 2021

In this paper, we propose a real-valued multi-input memory polynomial (MP) for behavioral modeling of a mixer, which considers nonlinearity introduced by in-phase, quadrature and the local oscillator (LO) inputs. By splitting the I and Q data of the stimulus and LO signal, we use a 4-input 2-output structure of the real-valued MP model. The experimental validation based on data measured from a real mixer confirms the effectiveness of our proposed model. Compared with the Volterra series in the literature, the real-valued MP has similar modeling accuracy with much lower complexity,

mixer modeling

memory polynomial

nonlinearity

IQ imbalance

local oscillator

Författare

Nima Hajiabdolrahim

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Siqi Wang

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Christian Fager

Chalmers, Mikroteknologi och nanovetenskap, Mikrovågselektronik

H. Volkan Hunerli

Ericsson AB

Thomas Eriksson

Chalmers, Elektroteknik

2021 51st European Microwave Conference, EuMC 2021

325-328
9782874870637 (ISBN)

51st European Microwave Conference, EuMC 2021
London, United Kingdom,

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Kommunikationssystem

Elektroteknik och elektronik

Signalbehandling

DOI

10.23919/EuMC50147.2022.9784179

Mer information

Senast uppdaterat

2023-01-15