Decision-directed Estimation of Phase Noise in Iterative Frequency-domain Equalization Schemes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we propose a novel joint equalization and phase noise compensation scheme. We consider an iterative receiver that can be regarded as a modified turbo equalizer implemented in the frequency-domain where, within each iteration of the equalizer, a decision-directed estimation of the phase noise and its corresponding compensation is performed. The phase noise is modeled considering both its white noise and flicker noise components, thus describing more accurately the phase noise process. Furthermore, regarding the phase noise estimation operation and since it follows the received signal equalization step, the samples at the output of the equalizer can be described by means of an equivalent additive channel allowing us to combine the use of solutions initially proposed for the additive white Gaussian channel (AWGN) with iterative frequency-domain equalization (IFDE) which supports inter-symbol interference (ISI). Consequently, the maximum likelihood (ML) estimator of the phase noise will be adopted, though other solutions could be of choice. Finally, our simulation results show that the proposed scheme performs well even for highly-dispersive channels and moderate phase noise.
Original languageUnknown
Title of host publicationICSPCS
Pages1-5
DOIs
Publication statusPublished - 1 Jan 2013
Event7th International Conference on Signal Processing and Communication Systems (ICSPCS), 2013 -
Duration: 1 Jan 2013 → …

Conference

Conference7th International Conference on Signal Processing and Communication Systems (ICSPCS), 2013
Period1/01/13 → …

Cite this

@inproceedings{fc85d6a4543248d48ff043935ad5d048,
title = "Decision-directed Estimation of Phase Noise in Iterative Frequency-domain Equalization Schemes",
abstract = "In this paper we propose a novel joint equalization and phase noise compensation scheme. We consider an iterative receiver that can be regarded as a modified turbo equalizer implemented in the frequency-domain where, within each iteration of the equalizer, a decision-directed estimation of the phase noise and its corresponding compensation is performed. The phase noise is modeled considering both its white noise and flicker noise components, thus describing more accurately the phase noise process. Furthermore, regarding the phase noise estimation operation and since it follows the received signal equalization step, the samples at the output of the equalizer can be described by means of an equivalent additive channel allowing us to combine the use of solutions initially proposed for the additive white Gaussian channel (AWGN) with iterative frequency-domain equalization (IFDE) which supports inter-symbol interference (ISI). Consequently, the maximum likelihood (ML) estimator of the phase noise will be adopted, though other solutions could be of choice. Finally, our simulation results show that the proposed scheme performs well even for highly-dispersive channels and moderate phase noise.",
author = "Dinis, {Rui Miguel Henriques Dias Morgado}",
note = "Sem pdf conforme despacho.",
year = "2013",
month = "1",
day = "1",
doi = "10.1109/ICSPCS.2013.6723928",
language = "Unknown",
pages = "1--5",
booktitle = "ICSPCS",

}

Dinis, RMHDM 2013, Decision-directed Estimation of Phase Noise in Iterative Frequency-domain Equalization Schemes. in ICSPCS. pp. 1-5, 7th International Conference on Signal Processing and Communication Systems (ICSPCS), 2013, 1/01/13. https://doi.org/10.1109/ICSPCS.2013.6723928

Decision-directed Estimation of Phase Noise in Iterative Frequency-domain Equalization Schemes. / Dinis, Rui Miguel Henriques Dias Morgado.

ICSPCS. 2013. p. 1-5.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Decision-directed Estimation of Phase Noise in Iterative Frequency-domain Equalization Schemes

AU - Dinis, Rui Miguel Henriques Dias Morgado

N1 - Sem pdf conforme despacho.

PY - 2013/1/1

Y1 - 2013/1/1

N2 - In this paper we propose a novel joint equalization and phase noise compensation scheme. We consider an iterative receiver that can be regarded as a modified turbo equalizer implemented in the frequency-domain where, within each iteration of the equalizer, a decision-directed estimation of the phase noise and its corresponding compensation is performed. The phase noise is modeled considering both its white noise and flicker noise components, thus describing more accurately the phase noise process. Furthermore, regarding the phase noise estimation operation and since it follows the received signal equalization step, the samples at the output of the equalizer can be described by means of an equivalent additive channel allowing us to combine the use of solutions initially proposed for the additive white Gaussian channel (AWGN) with iterative frequency-domain equalization (IFDE) which supports inter-symbol interference (ISI). Consequently, the maximum likelihood (ML) estimator of the phase noise will be adopted, though other solutions could be of choice. Finally, our simulation results show that the proposed scheme performs well even for highly-dispersive channels and moderate phase noise.

AB - In this paper we propose a novel joint equalization and phase noise compensation scheme. We consider an iterative receiver that can be regarded as a modified turbo equalizer implemented in the frequency-domain where, within each iteration of the equalizer, a decision-directed estimation of the phase noise and its corresponding compensation is performed. The phase noise is modeled considering both its white noise and flicker noise components, thus describing more accurately the phase noise process. Furthermore, regarding the phase noise estimation operation and since it follows the received signal equalization step, the samples at the output of the equalizer can be described by means of an equivalent additive channel allowing us to combine the use of solutions initially proposed for the additive white Gaussian channel (AWGN) with iterative frequency-domain equalization (IFDE) which supports inter-symbol interference (ISI). Consequently, the maximum likelihood (ML) estimator of the phase noise will be adopted, though other solutions could be of choice. Finally, our simulation results show that the proposed scheme performs well even for highly-dispersive channels and moderate phase noise.

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