Performance of adaptive algorithms for compensation of radio over fiber links

Atso Hekkala, Mika Lasanen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

17 Citations (Scopus)

Abstract

This paper considers the adaptive predistortion of the nonlinear distortions in a Radio over Fiber (RoF) link. In particular, we modify and compare two adaptive algorithms developed originally for the compensation of the linear systems, namely LMS and variable step size normalized LMS (VS NLMS). A recursive least squares (RLS) solution is used as a reference. Our simulation results indicate that over 40 dB improvement of adjacent channel power ratios can be achieved via the predistortion. Furthermore, we show that in the compensation of the nonlinear RoF link, the LMS can be used in such a way that its performance is comparable to more complex RLS.
Original languageEnglish
Title of host publication2009 Wireless Telecommunications Symposium
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages1-5
ISBN (Electronic)978-1-4244-2589-1
ISBN (Print)978-1-4244-2588-4
DOIs
Publication statusPublished - 2009
MoE publication typeNot Eligible
EventWireless Telecommunications Symposium, WTS 2009 - Prague, Czech Republic
Duration: 22 Apr 200924 Apr 2009

Publication series

Name
ISSN (Print)1934-5070

Conference

ConferenceWireless Telecommunications Symposium, WTS 2009
Abbreviated titleWTS 2009
CountryCzech Republic
CityPrague
Period22/04/0924/04/09

Fingerprint

Radio-over-fiber
Adaptive algorithms
Nonlinear distortion
Linear systems
Compensation and Redress

Keywords

  • LMS
  • polynomial predistorter
  • predistortion
  • RLS
  • RoF
  • VS NLMS

Cite this

Hekkala, A., & Lasanen, M. (2009). Performance of adaptive algorithms for compensation of radio over fiber links. In 2009 Wireless Telecommunications Symposium (pp. 1-5). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/WTS.2009.5068962
Hekkala, Atso ; Lasanen, Mika. / Performance of adaptive algorithms for compensation of radio over fiber links. 2009 Wireless Telecommunications Symposium. Institute of Electrical and Electronic Engineers IEEE, 2009. pp. 1-5
@inproceedings{e56af9b8f12e49039860b9c8ffdc4633,
title = "Performance of adaptive algorithms for compensation of radio over fiber links",
abstract = "This paper considers the adaptive predistortion of the nonlinear distortions in a Radio over Fiber (RoF) link. In particular, we modify and compare two adaptive algorithms developed originally for the compensation of the linear systems, namely LMS and variable step size normalized LMS (VS NLMS). A recursive least squares (RLS) solution is used as a reference. Our simulation results indicate that over 40 dB improvement of adjacent channel power ratios can be achieved via the predistortion. Furthermore, we show that in the compensation of the nonlinear RoF link, the LMS can be used in such a way that its performance is comparable to more complex RLS.",
keywords = "LMS, polynomial predistorter, predistortion, RLS, RoF, VS NLMS",
author = "Atso Hekkala and Mika Lasanen",
note = "Project code: 19083",
year = "2009",
doi = "10.1109/WTS.2009.5068962",
language = "English",
isbn = "978-1-4244-2588-4",
publisher = "Institute of Electrical and Electronic Engineers IEEE",
pages = "1--5",
booktitle = "2009 Wireless Telecommunications Symposium",
address = "United States",

}

Hekkala, A & Lasanen, M 2009, Performance of adaptive algorithms for compensation of radio over fiber links. in 2009 Wireless Telecommunications Symposium. Institute of Electrical and Electronic Engineers IEEE, pp. 1-5, Wireless Telecommunications Symposium, WTS 2009, Prague, Czech Republic, 22/04/09. https://doi.org/10.1109/WTS.2009.5068962

Performance of adaptive algorithms for compensation of radio over fiber links. / Hekkala, Atso; Lasanen, Mika.

2009 Wireless Telecommunications Symposium. Institute of Electrical and Electronic Engineers IEEE, 2009. p. 1-5.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Performance of adaptive algorithms for compensation of radio over fiber links

AU - Hekkala, Atso

AU - Lasanen, Mika

N1 - Project code: 19083

PY - 2009

Y1 - 2009

N2 - This paper considers the adaptive predistortion of the nonlinear distortions in a Radio over Fiber (RoF) link. In particular, we modify and compare two adaptive algorithms developed originally for the compensation of the linear systems, namely LMS and variable step size normalized LMS (VS NLMS). A recursive least squares (RLS) solution is used as a reference. Our simulation results indicate that over 40 dB improvement of adjacent channel power ratios can be achieved via the predistortion. Furthermore, we show that in the compensation of the nonlinear RoF link, the LMS can be used in such a way that its performance is comparable to more complex RLS.

AB - This paper considers the adaptive predistortion of the nonlinear distortions in a Radio over Fiber (RoF) link. In particular, we modify and compare two adaptive algorithms developed originally for the compensation of the linear systems, namely LMS and variable step size normalized LMS (VS NLMS). A recursive least squares (RLS) solution is used as a reference. Our simulation results indicate that over 40 dB improvement of adjacent channel power ratios can be achieved via the predistortion. Furthermore, we show that in the compensation of the nonlinear RoF link, the LMS can be used in such a way that its performance is comparable to more complex RLS.

KW - LMS

KW - polynomial predistorter

KW - predistortion

KW - RLS

KW - RoF

KW - VS NLMS

U2 - 10.1109/WTS.2009.5068962

DO - 10.1109/WTS.2009.5068962

M3 - Conference article in proceedings

SN - 978-1-4244-2588-4

SP - 1

EP - 5

BT - 2009 Wireless Telecommunications Symposium

PB - Institute of Electrical and Electronic Engineers IEEE

ER -

Hekkala A, Lasanen M. Performance of adaptive algorithms for compensation of radio over fiber links. In 2009 Wireless Telecommunications Symposium. Institute of Electrical and Electronic Engineers IEEE. 2009. p. 1-5 https://doi.org/10.1109/WTS.2009.5068962