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

Yixin Chen; Carmine Clemente; John Soraghan; Stephan Weiss

doi:10.1109/SSPD.2015.7288503

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

Yixin Chen, Carmine Clemente, John Soraghan, Stephan Weiss

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

7 Citations (Scopus)

146 Downloads (Pure)

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.

Original language	English
Title of host publication	Sensor Signal Processing for Defence (SSPD), 2015
Publisher	IEEE
Pages	147-151
Number of pages	5
ISBN (Print)	9781479974443
DOIs	https://doi.org/10.1109/SSPD.2015.7288503
Publication status	Published - 9 Sept 2015
Event	5th Conference of the Sensor Signal Processing for Defence - Royal College of Physicians of Edinburgh, Edinburgh, United Kingdom Duration: 9 Jul 2015 → 10 Jul 2015 http://www.sspd.eng.ed.ac.uk/conference-archive/2015

Conference

Conference	5th Conference of the Sensor Signal Processing for Defence
Abbreviated title	SSPD 2015
Country/Territory	United Kingdom
City	Edinburgh
Period	9/07/15 → 10/07/15
Internet address	http://www.sspd.eng.ed.ac.uk/conference-archive/2015

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

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10.1109/SSPD.2015.7288503

Chen-etal-SSPD2015-FrCT-Turbo-based-OFDMAccepted author manuscript, 851 KB

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 = "{\textcopyright} 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.; 5th Conference of the Sensor Signal Processing for Defence , SSPD 2015 ; Conference date: 09-07-2015 Through 10-07-2015",

year = "2015",

month = sep,

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",

url = "http://www.sspd.eng.ed.ac.uk/conference-archive/2015",

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TY - GEN

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.

PY - 2015/9/9

Y1 - 2015/9/9

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.

KW - discrete-fractional cosine transform (DFrCT)

KW - carrier to interference (CIR)

KW - Tikhonov regularization based Turbo Minimum mean square error (MMSE) equalization

KW - OFDM modulation

KW - discrete cosine transforms

KW - error statistics

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

UR - http://www.sspd.eng.ed.ac.uk/sites/sspd.eng.ed.ac.uk/files/publications/SSPD15%20Master.pdf

U2 - 10.1109/SSPD.2015.7288503

DO - 10.1109/SSPD.2015.7288503

M3 - Conference contribution book

SN - 9781479974443

SP - 147

EP - 151

BT - Sensor Signal Processing for Defence (SSPD), 2015

PB - IEEE

T2 - 5th Conference of the Sensor Signal Processing for Defence

Y2 - 9 July 2015 through 10 July 2015

ER -

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

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Signal Processing Solutions for the Networked Battlespace

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

Abstract

Conference

Keywords

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Signal Processing Solutions for the Networked Battlespace

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