Hybrid blind symbol rate estimation for linearly modulated signals

Mohammed El Hadi Lakhdari; Hua Wang; Mohamed Bouchou

doi:10.1109/ICCT.2017.8359647

Hybrid blind symbol rate estimation for linearly modulated signals

Mohammed El Hadi Lakhdari, Hua Wang, Mohamed Bouchou

School of Information and Electronics

Beijing Institute of Technology

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

3 Citations (Scopus)

Abstract

In this paper, a hybrid two-stage algorithm for blind symbol rate estimation is proposed, which applies for raised cosine pulse shaped, linearly modulated signals. In the first stage, the inverse (fast) Fourier transform (IFFT) of the averaged power spectrum is used to extract a coarse estimate based on the evaluation of the related baseband signal. In the second stage, a Maximum-likelihood (ML) based algorithm is used for the fine estimation due to its high accuracy. A prior estimation of the carrier frequency is proposed to allow for working in blind environment at low signal-to-noise ratio (SNR) levels. The performance of the proposed algorithm verified by simulation shows a high efficiency with less complexity comparing to the methods published in the open literature.

Original language	English
Title of host publication	2017 17th IEEE International Conference on Communication Technology, ICCT 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	287-292
Number of pages	6
ISBN (Electronic)	9781509039432
DOIs	https://doi.org/10.1109/ICCT.2017.8359647
Publication status	Published - 2 Jul 2017
Event	17th IEEE International Conference on Communication Technology, ICCT 2017 - Chengdu, China Duration: 27 Oct 2017 → 30 Oct 2017

Publication series

Name	International Conference on Communication Technology Proceedings, ICCT
Volume	2017-October

Conference

Conference	17th IEEE International Conference on Communication Technology, ICCT 2017
Country/Territory	China
City	Chengdu
Period	27/10/17 → 30/10/17

Keywords

Carrier frequency estimation
Inverse (fast) Fourier transform
Maximum-likelihood
Wavelet transform

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10.1109/ICCT.2017.8359647

Cite this

Lakhdari, M. E. H., Wang, H., & Bouchou, M. (2017). Hybrid blind symbol rate estimation for linearly modulated signals. In 2017 17th IEEE International Conference on Communication Technology, ICCT 2017 (pp. 287-292). (International Conference on Communication Technology Proceedings, ICCT; Vol. 2017-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCT.2017.8359647

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title = "Hybrid blind symbol rate estimation for linearly modulated signals",

abstract = "In this paper, a hybrid two-stage algorithm for blind symbol rate estimation is proposed, which applies for raised cosine pulse shaped, linearly modulated signals. In the first stage, the inverse (fast) Fourier transform (IFFT) of the averaged power spectrum is used to extract a coarse estimate based on the evaluation of the related baseband signal. In the second stage, a Maximum-likelihood (ML) based algorithm is used for the fine estimation due to its high accuracy. A prior estimation of the carrier frequency is proposed to allow for working in blind environment at low signal-to-noise ratio (SNR) levels. The performance of the proposed algorithm verified by simulation shows a high efficiency with less complexity comparing to the methods published in the open literature.",

keywords = "Carrier frequency estimation, Inverse (fast) Fourier transform, Maximum-likelihood, Wavelet transform",

author = "Lakhdari, {Mohammed El Hadi} and Hua Wang and Mohamed Bouchou",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 17th IEEE International Conference on Communication Technology, ICCT 2017 ; Conference date: 27-10-2017 Through 30-10-2017",

year = "2017",

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doi = "10.1109/ICCT.2017.8359647",

language = "English",

series = "International Conference on Communication Technology Proceedings, ICCT",

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Lakhdari, MEH, Wang, H & Bouchou, M 2017, Hybrid blind symbol rate estimation for linearly modulated signals. in 2017 17th IEEE International Conference on Communication Technology, ICCT 2017. International Conference on Communication Technology Proceedings, ICCT, vol. 2017-October, Institute of Electrical and Electronics Engineers Inc., pp. 287-292, 17th IEEE International Conference on Communication Technology, ICCT 2017, Chengdu, China, 27/10/17. https://doi.org/10.1109/ICCT.2017.8359647

Hybrid blind symbol rate estimation for linearly modulated signals. / Lakhdari, Mohammed El Hadi; Wang, Hua; Bouchou, Mohamed.
2017 17th IEEE International Conference on Communication Technology, ICCT 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 287-292 (International Conference on Communication Technology Proceedings, ICCT; Vol. 2017-October).

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

TY - GEN

T1 - Hybrid blind symbol rate estimation for linearly modulated signals

AU - Lakhdari, Mohammed El Hadi

AU - Wang, Hua

AU - Bouchou, Mohamed

PY - 2017/7/2

Y1 - 2017/7/2

N2 - In this paper, a hybrid two-stage algorithm for blind symbol rate estimation is proposed, which applies for raised cosine pulse shaped, linearly modulated signals. In the first stage, the inverse (fast) Fourier transform (IFFT) of the averaged power spectrum is used to extract a coarse estimate based on the evaluation of the related baseband signal. In the second stage, a Maximum-likelihood (ML) based algorithm is used for the fine estimation due to its high accuracy. A prior estimation of the carrier frequency is proposed to allow for working in blind environment at low signal-to-noise ratio (SNR) levels. The performance of the proposed algorithm verified by simulation shows a high efficiency with less complexity comparing to the methods published in the open literature.

AB - In this paper, a hybrid two-stage algorithm for blind symbol rate estimation is proposed, which applies for raised cosine pulse shaped, linearly modulated signals. In the first stage, the inverse (fast) Fourier transform (IFFT) of the averaged power spectrum is used to extract a coarse estimate based on the evaluation of the related baseband signal. In the second stage, a Maximum-likelihood (ML) based algorithm is used for the fine estimation due to its high accuracy. A prior estimation of the carrier frequency is proposed to allow for working in blind environment at low signal-to-noise ratio (SNR) levels. The performance of the proposed algorithm verified by simulation shows a high efficiency with less complexity comparing to the methods published in the open literature.

KW - Carrier frequency estimation

KW - Inverse (fast) Fourier transform

KW - Maximum-likelihood

KW - Wavelet transform

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U2 - 10.1109/ICCT.2017.8359647

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M3 - Conference contribution

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T3 - International Conference on Communication Technology Proceedings, ICCT

SP - 287

EP - 292

BT - 2017 17th IEEE International Conference on Communication Technology, ICCT 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th IEEE International Conference on Communication Technology, ICCT 2017

Y2 - 27 October 2017 through 30 October 2017

ER -

Hybrid blind symbol rate estimation for linearly modulated signals

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