Fractional Cosine Transform (FrCT)-Turbo based OFDM for underwater acoustic communication

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

4 Citations (Scopus)

Abstract

In this paper, a hybrid Discrete Fractional Cosine Transform (DFrCT) with Tikhonov regularization based Turbo Minimum mean square error (MMSE) equalization (DFrCT-Turbo) is presented to suppress inter-carrier interference (ICI) over underwater acoustic channels (UWA). The scheme is based on Orthogonal Frequency Division Multiplex (OFDM) scenario. In addition, an optimal order selecting method for DFrCT is developed by maximizing carrier to interference ratio (CIR) to UWA channel character. Simulation results show that BER improvement of up to 5dBs over traditional orthogonal based methods with moderate complexity.
LanguageEnglish
Title of host publicationSensor Signal Processing for Defence (SSPD), 2015
PublisherIEEE
Pages147-151
Number of pages5
ISBN (Print)9781479974443
DOIs
Publication statusPublished - 9 Sep 2015
Event5th Conference of the Sensor Signal Processing for Defence - Royal College of Physicians of Edinburgh, Edinburgh, United Kingdom
Duration: 9 Jul 201510 Jul 2015
http://www.sspd.eng.ed.ac.uk/conference-archive/2015

Conference

Conference5th Conference of the Sensor Signal Processing for Defence
Abbreviated titleSSPD 2015
CountryUnited Kingdom
CityEdinburgh
Period9/07/1510/07/15
Internet address

Fingerprint

Cosine transforms
Underwater acoustics
Communication
Mean square error

Keywords

  • discrete-fractional cosine transform (DFrCT)
  • carrier to interference (CIR)
  • Tikhonov regularization based Turbo Minimum mean square error (MMSE) equalization
  • OFDM modulation
  • discrete cosine transforms
  • error statistics
  • intercarrier interference
  • interference suppression
  • least mean squares methods
  • turbo codes
  • underwater acoustic communication
  • wireless channels

Cite this

@inproceedings{648afa5cee8045fba1f3818983a2ca0a,
title = "Fractional Cosine Transform (FrCT)-Turbo based OFDM for underwater acoustic communication",
abstract = "In this paper, a hybrid Discrete Fractional Cosine Transform (DFrCT) with Tikhonov regularization based Turbo Minimum mean square error (MMSE) equalization (DFrCT-Turbo) is presented to suppress inter-carrier interference (ICI) over underwater acoustic channels (UWA). The scheme is based on Orthogonal Frequency Division Multiplex (OFDM) scenario. In addition, an optimal order selecting method for DFrCT is developed by maximizing carrier to interference ratio (CIR) to UWA channel character. Simulation results show that BER improvement of up to 5dBs over traditional orthogonal based methods with moderate complexity.",
keywords = "discrete-fractional cosine transform (DFrCT), carrier to interference (CIR), Tikhonov regularization based Turbo Minimum mean square error (MMSE) equalization, OFDM modulation, discrete cosine transforms, error statistics, intercarrier interference, interference suppression, least mean squares methods, turbo codes, underwater acoustic communication, wireless channels",
author = "Yixin Chen and Carmine Clemente and John Soraghan and Stephan Weiss",
note = "{\circledC} 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.",
year = "2015",
month = "9",
day = "9",
doi = "10.1109/SSPD.2015.7288503",
language = "English",
isbn = "9781479974443",
pages = "147--151",
booktitle = "Sensor Signal Processing for Defence (SSPD), 2015",
publisher = "IEEE",

}

Chen, Y, Clemente, C, Soraghan, J & Weiss, S 2015, Fractional Cosine Transform (FrCT)-Turbo based OFDM for underwater acoustic communication. in Sensor Signal Processing for Defence (SSPD), 2015. IEEE, pp. 147-151, 5th Conference of the Sensor Signal Processing for Defence , Edinburgh, United Kingdom, 9/07/15. https://doi.org/10.1109/SSPD.2015.7288503

Fractional Cosine Transform (FrCT)-Turbo based OFDM for underwater acoustic communication. / Chen, Yixin; Clemente, Carmine; Soraghan, John; Weiss, Stephan.

Sensor Signal Processing for Defence (SSPD), 2015. IEEE, 2015. p. 147-151.

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

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T1 - Fractional Cosine Transform (FrCT)-Turbo based OFDM for underwater acoustic communication

AU - Chen, Yixin

AU - Clemente, Carmine

AU - Soraghan, John

AU - Weiss, Stephan

N1 - © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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N2 - In this paper, a hybrid Discrete Fractional Cosine Transform (DFrCT) with Tikhonov regularization based Turbo Minimum mean square error (MMSE) equalization (DFrCT-Turbo) is presented to suppress inter-carrier interference (ICI) over underwater acoustic channels (UWA). The scheme is based on Orthogonal Frequency Division Multiplex (OFDM) scenario. In addition, an optimal order selecting method for DFrCT is developed by maximizing carrier to interference ratio (CIR) to UWA channel character. Simulation results show that BER improvement of up to 5dBs over traditional orthogonal based methods with moderate complexity.

AB - In this paper, a hybrid Discrete Fractional Cosine Transform (DFrCT) with Tikhonov regularization based Turbo Minimum mean square error (MMSE) equalization (DFrCT-Turbo) is presented to suppress inter-carrier interference (ICI) over underwater acoustic channels (UWA). The scheme is based on Orthogonal Frequency Division Multiplex (OFDM) scenario. In addition, an optimal order selecting method for DFrCT is developed by maximizing carrier to interference ratio (CIR) to UWA channel character. Simulation results show that BER improvement of up to 5dBs over traditional orthogonal based methods with moderate complexity.

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KW - intercarrier interference

KW - interference suppression

KW - least mean squares methods

KW - turbo codes

KW - underwater acoustic communication

KW - wireless channels

UR - http://www.sspd.eng.ed.ac.uk/conference-archive/2015

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