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

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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 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

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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