Modeling Power Amplifiers using Memory Polynomials

André B.J. Kokkeler

Modeling Power Amplifiers using Memory Polynomials

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1399 Downloads (Pure)

Abstract

In this paper we present measured in- and output data of a power amplifier (PA). We compare this data with an AM-AM and AM-PM model. We conclude that a more sophisticated PA model is needed to cope with severe memory effects. We suggest to use memory polynomials and introduce two approaches to deduce the polynomial coefficients from the measured data: the Least-Squares and Crosscorrelation approaches. We construct PA models according to both approaches, using the measured data. We compare the two PA models with the original AM-AM and AM-PM model.

Original language	English
Title of host publication	Proceedings of the 12th IEEE Benelux Symposium on Communications and Vehicular Technology in the Benelux (SCVT2005)
Place of Publication	Enschede, The Netherland
Publisher	University of Twente
Pages	1-6
Number of pages	6
ISBN (Print)	90-365-2264-1
Publication status	Published - 3 Nov 2005
Event	12th Annual Symposium on Communications and Vehicular Technology in the Benelux, SCVT 2005 - Enschede, Netherlands Duration: 3 Nov 2005 → 3 Nov 2005 Conference number: 12

Conference

Conference	12th Annual Symposium on Communications and Vehicular Technology in the Benelux, SCVT 2005
Abbreviated title	SCVT
Country/Territory	Netherlands
City	Enschede
Period	3/11/05 → 3/11/05

Keywords

CAES-EEA: Efficient Embedded Architectures

Access to Document

ArticleFinal published version, 2.17 MB

Cite this

@inproceedings{eccefd166a4b43068d322779a1babfec,

title = "Modeling Power Amplifiers using Memory Polynomials",

abstract = "In this paper we present measured in- and output data of a power amplifier (PA). We compare this data with an AM-AM and AM-PM model. We conclude that a more sophisticated PA model is needed to cope with severe memory effects. We suggest to use memory polynomials and introduce two approaches to deduce the polynomial coefficients from the measured data: the Least-Squares and Crosscorrelation approaches. We construct PA models according to both approaches, using the measured data. We compare the two PA models with the original AM-AM and AM-PM model.",

keywords = "CAES-EEA: Efficient Embedded Architectures",

author = "Kokkeler, {Andr{\'e} B.J.}",

year = "2005",

month = nov,

day = "3",

language = "English",

isbn = "90-365-2264-1",

pages = "1--6",

booktitle = "Proceedings of the 12th IEEE Benelux Symposium on Communications and Vehicular Technology in the Benelux (SCVT2005)",

publisher = "University of Twente",

address = "Netherlands",

note = "12th Annual Symposium on Communications and Vehicular Technology in the Benelux, SCVT 2005, SCVT ; Conference date: 03-11-2005 Through 03-11-2005",

}

Kokkeler, ABJ 2005, Modeling Power Amplifiers using Memory Polynomials. in Proceedings of the 12th IEEE Benelux Symposium on Communications and Vehicular Technology in the Benelux (SCVT2005). University of Twente, Enschede, The Netherland, pp. 1-6, 12th Annual Symposium on Communications and Vehicular Technology in the Benelux, SCVT 2005, Enschede, Netherlands, 3/11/05.

Modeling Power Amplifiers using Memory Polynomials. / Kokkeler, André B.J.
Proceedings of the 12th IEEE Benelux Symposium on Communications and Vehicular Technology in the Benelux (SCVT2005). Enschede, The Netherland: University of Twente, 2005. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Modeling Power Amplifiers using Memory Polynomials

AU - Kokkeler, André B.J.

N1 - Conference code: 12

PY - 2005/11/3

Y1 - 2005/11/3

N2 - In this paper we present measured in- and output data of a power amplifier (PA). We compare this data with an AM-AM and AM-PM model. We conclude that a more sophisticated PA model is needed to cope with severe memory effects. We suggest to use memory polynomials and introduce two approaches to deduce the polynomial coefficients from the measured data: the Least-Squares and Crosscorrelation approaches. We construct PA models according to both approaches, using the measured data. We compare the two PA models with the original AM-AM and AM-PM model.

AB - In this paper we present measured in- and output data of a power amplifier (PA). We compare this data with an AM-AM and AM-PM model. We conclude that a more sophisticated PA model is needed to cope with severe memory effects. We suggest to use memory polynomials and introduce two approaches to deduce the polynomial coefficients from the measured data: the Least-Squares and Crosscorrelation approaches. We construct PA models according to both approaches, using the measured data. We compare the two PA models with the original AM-AM and AM-PM model.

KW - CAES-EEA: Efficient Embedded Architectures

M3 - Conference contribution

SN - 90-365-2264-1

SP - 1

EP - 6

BT - Proceedings of the 12th IEEE Benelux Symposium on Communications and Vehicular Technology in the Benelux (SCVT2005)

PB - University of Twente

CY - Enschede, The Netherland

T2 - 12th Annual Symposium on Communications and Vehicular Technology in the Benelux, SCVT 2005

Y2 - 3 November 2005 through 3 November 2005

ER -

Modeling Power Amplifiers using Memory Polynomials

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this