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

Research output: Contribution to conferencePaper

6 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.

Conference

Conference23rd European Signal Processing Conference, 2015 (EUSIPCO 2015)
Abbreviated titleEUSIPCO 2015
CountryFrance
CityNice
Period31/08/154/09/15

Fingerprint

Underwater acoustics
Fourier transforms
Communication
Equalizers
Demodulation
Mean square error
Fast Fourier transforms
Computational complexity
Communication systems

Keywords

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

Cite this

Chen, Yixin ; Clemente, Carmine ; Soraghan, John J. ; Weiss, Stephan. / Partial Fractional Fourier Transform (PFrFT)-OFDM for underwater acoustic communication. Paper presented at 23rd European Signal Processing Conference, 2015 (EUSIPCO 2015), Nice, France.5 p.
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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 = "12",
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",

}

Chen, Y, Clemente, C, Soraghan, JJ & Weiss, S 2015, 'Partial Fractional Fourier Transform (PFrFT)-OFDM for underwater acoustic communication' Paper presented at 23rd European Signal Processing Conference, 2015 (EUSIPCO 2015), Nice, France, 31/08/15 - 4/09/15, . https://doi.org/10.1109/EUSIPCO.2015.7362406

Partial Fractional Fourier Transform (PFrFT)-OFDM for underwater acoustic communication. / Chen, Yixin; Clemente, Carmine; Soraghan, John J.; Weiss, Stephan.

2015. Paper presented at 23rd European Signal Processing Conference, 2015 (EUSIPCO 2015), Nice, France.

Research output: Contribution to conferencePaper

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

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DO - 10.1109/EUSIPCO.2015.7362406

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