A Crosscorrelation Predistorter using Memory Polynomials

André B.J. Kokkeler

doi:10.1109/ISCAS.2004.1328754

A Crosscorrelation Predistorter using Memory Polynomials

André B.J. Kokkeler

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

6 Citations (Scopus)

192 Downloads (Pure)

Abstract

Amplification of signals with fluctuating envelopes inevitably leads to distortion because of non-linear behavior of the Power Amplifier (PA). Digital Predistortion can counteract these non-linear effects. In this paper, a novel Digital Predistortion architecture is presented which is based on the calculation of crosscorrelation functions using coarsely quantized signals. The crosscorrelation functions are transformed to the frequency domain and the spectra are used to calculate the coefficients of the predistorter memory polynomial. This method has reduced complexity and slightly improved average performance in comparison with existing schemes.

Original language	English
Title of host publication	2004 IEEE International Symposium on Circuits and Systems
Publisher	IEEE
Pages	345-348
Number of pages	4
Volume	3
ISBN (Print)	0-7803-8251-X
DOIs	https://doi.org/10.1109/ISCAS.2004.1328754
Publication status	Published - May 2004
Event	IEEE International Symposium on Circuits and Systems, ISCAS 2004 - Vancouver, Canada Duration: 23 May 2004 → 26 May 2004

Conference

Conference	IEEE International Symposium on Circuits and Systems, ISCAS 2004
Abbreviated title	ISCAS
Country/Territory	Canada
City	Vancouver
Period	23/05/04 → 26/05/04

Keywords

2023 OA procedure

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10.1109/ISCAS.2004.1328754

ArticleFinal published version, 288 KBLicence: Taverne

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title = "A Crosscorrelation Predistorter using Memory Polynomials",

abstract = "Amplification of signals with fluctuating envelopes inevitably leads to distortion because of non-linear behavior of the Power Amplifier (PA). Digital Predistortion can counteract these non-linear effects. In this paper, a novel Digital Predistortion architecture is presented which is based on the calculation of crosscorrelation functions using coarsely quantized signals. The crosscorrelation functions are transformed to the frequency domain and the spectra are used to calculate the coefficients of the predistorter memory polynomial. This method has reduced complexity and slightly improved average performance in comparison with existing schemes.",

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N2 - Amplification of signals with fluctuating envelopes inevitably leads to distortion because of non-linear behavior of the Power Amplifier (PA). Digital Predistortion can counteract these non-linear effects. In this paper, a novel Digital Predistortion architecture is presented which is based on the calculation of crosscorrelation functions using coarsely quantized signals. The crosscorrelation functions are transformed to the frequency domain and the spectra are used to calculate the coefficients of the predistorter memory polynomial. This method has reduced complexity and slightly improved average performance in comparison with existing schemes.

AB - Amplification of signals with fluctuating envelopes inevitably leads to distortion because of non-linear behavior of the Power Amplifier (PA). Digital Predistortion can counteract these non-linear effects. In this paper, a novel Digital Predistortion architecture is presented which is based on the calculation of crosscorrelation functions using coarsely quantized signals. The crosscorrelation functions are transformed to the frequency domain and the spectra are used to calculate the coefficients of the predistorter memory polynomial. This method has reduced complexity and slightly improved average performance in comparison with existing schemes.

KW - 2023 OA procedure

U2 - 10.1109/ISCAS.2004.1328754

DO - 10.1109/ISCAS.2004.1328754

M3 - Conference contribution

SN - 0-7803-8251-X

VL - 3

SP - 345

EP - 348

BT - 2004 IEEE International Symposium on Circuits and Systems

PB - IEEE

T2 - IEEE International Symposium on Circuits and Systems, ISCAS 2004

Y2 - 23 May 2004 through 26 May 2004

ER -

A Crosscorrelation Predistorter using Memory Polynomials

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