Partial Fractional Fourier Transform (PFrFT)-OFDM for underwater acoustic communication

Yixin Chen; Carmine Clemente; John J. Soraghan; Stephan Weiss

doi:10.1109/EUSIPCO.2015.7362406

Partial Fractional Fourier Transform (PFrFT)-OFDM for underwater acoustic communication

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

8 Citations (Scopus)

Abstract

Communication over doubly selective channels (both time and frequency selective) suffers from significant intercarrier interference (ICI). This problem is severe in underwater acoustic communications. In this paper, a new Partial Fractional Fourier (PFrFT) based orthogonal frequency division multiplex (OFDM) scenario is presented for dealing with such challenges. A band minimum mean square error (BMMSE) weight combining equalizer based on Least Square MINRES (LSMR) iterative algorithm is used in the proposed communication system. Simulation results demonstrate significant BER performance improvements (up to 8dB) over traditional orthogonal based methods and those considering Partial FFT demodulation, and Discrete Fractional Fourier Transform (DFrFT) with only a moderate computational complexity increase.

Original language	English
Number of pages	5
DOIs	https://doi.org/10.1109/EUSIPCO.2015.7362406
Publication status	Published - 28 Dec 2015
Event	23rd European Signal Processing Conference, 2015 (EUSIPCO 2015) - Nice, France Duration: 31 Aug 2015 → 4 Sept 2015

Conference

Conference	23rd European Signal Processing Conference, 2015 (EUSIPCO 2015)
Abbreviated title	EUSIPCO 2015
Country/Territory	France
City	Nice
Period	31/08/15 → 4/09/15

Keywords

orthogonal frequency division multiplexing
OFDM
partial fractional fourier transform
PFrFT
branded mean square error
BMMSE
least square minres
LSMR

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10.1109/EUSIPCO.2015.7362406

Cite this

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title = "Partial Fractional Fourier Transform (PFrFT)-OFDM for underwater acoustic communication",

abstract = "Communication over doubly selective channels (both time and frequency selective) suffers from significant intercarrier interference (ICI). This problem is severe in underwater acoustic communications. In this paper, a new Partial Fractional Fourier (PFrFT) based orthogonal frequency division multiplex (OFDM) scenario is presented for dealing with such challenges. A band minimum mean square error (BMMSE) weight combining equalizer based on Least Square MINRES (LSMR) iterative algorithm is used in the proposed communication system. Simulation results demonstrate significant BER performance improvements (up to 8dB) over traditional orthogonal based methods and those considering Partial FFT demodulation, and Discrete Fractional Fourier Transform (DFrFT) with only a moderate computational complexity increase.",

keywords = "orthogonal frequency division multiplexing, OFDM, partial fractional fourier transform, PFrFT, branded mean square error, BMMSE, least square minres, LSMR",

author = "Yixin Chen and Carmine Clemente and Soraghan, \{John J.\} and Stephan Weiss",

year = "2015",

month = dec,

day = "28",

doi = "10.1109/EUSIPCO.2015.7362406",

language = "English",

note = "23rd European Signal Processing Conference, 2015 (EUSIPCO 2015), EUSIPCO 2015 ; Conference date: 31-08-2015 Through 04-09-2015",

}

TY - CONF

T1 - Partial Fractional Fourier Transform (PFrFT)-OFDM for underwater acoustic communication

AU - Chen, Yixin

AU - Clemente, Carmine

AU - Soraghan, John J.

AU - Weiss, Stephan

PY - 2015/12/28

Y1 - 2015/12/28

N2 - Communication over doubly selective channels (both time and frequency selective) suffers from significant intercarrier interference (ICI). This problem is severe in underwater acoustic communications. In this paper, a new Partial Fractional Fourier (PFrFT) based orthogonal frequency division multiplex (OFDM) scenario is presented for dealing with such challenges. A band minimum mean square error (BMMSE) weight combining equalizer based on Least Square MINRES (LSMR) iterative algorithm is used in the proposed communication system. Simulation results demonstrate significant BER performance improvements (up to 8dB) over traditional orthogonal based methods and those considering Partial FFT demodulation, and Discrete Fractional Fourier Transform (DFrFT) with only a moderate computational complexity increase.

AB - Communication over doubly selective channels (both time and frequency selective) suffers from significant intercarrier interference (ICI). This problem is severe in underwater acoustic communications. In this paper, a new Partial Fractional Fourier (PFrFT) based orthogonal frequency division multiplex (OFDM) scenario is presented for dealing with such challenges. A band minimum mean square error (BMMSE) weight combining equalizer based on Least Square MINRES (LSMR) iterative algorithm is used in the proposed communication system. Simulation results demonstrate significant BER performance improvements (up to 8dB) over traditional orthogonal based methods and those considering Partial FFT demodulation, and Discrete Fractional Fourier Transform (DFrFT) with only a moderate computational complexity increase.

KW - orthogonal frequency division multiplexing

KW - OFDM

KW - partial fractional fourier transform

KW - PFrFT

KW - branded mean square error

KW - BMMSE

KW - least square minres

KW - LSMR

U2 - 10.1109/EUSIPCO.2015.7362406

DO - 10.1109/EUSIPCO.2015.7362406

M3 - Paper

T2 - 23rd European Signal Processing Conference, 2015 (EUSIPCO 2015)

Y2 - 31 August 2015 through 4 September 2015

ER -

Partial Fractional Fourier Transform (PFrFT)-OFDM for underwater acoustic communication

Abstract

Conference

Keywords

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