Blind equalization of underwater acoustic channels using implicit higher-order statistics

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

In order to reduce the length of transmission time slots and energy consumption of underwater modems, this work focuses on equalization without the need for training sequences. This type of equalization is known as blind equalization. A blind equalizer cascade based on higher-order statistics is presented and evaluated using sea-trial replay data. The subcomponents of the cascade use increasingly stringent nonlinear cost criteria rooted in the constant modulus algorithm. Initial results reveal that the cascade can cope with the time variance of a realistic channel and largely mitigates its convolutional error.
Original languageUndefined
Title of host publication2016 IEEE Third Underwater Communications and Networking Conference (UComms)
Place of PublicationUSA
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Print)978-1-5090-2696-8
DOIs
Publication statusPublished - 6 Oct 2016
Event2016 IEEE 3rd Underwater Communications and Networking Conference, UComms 2016 - Lerici, Italy
Duration: 30 Aug 20161 Sep 2016

Publication series

Name
PublisherIEEE

Conference

Conference2016 IEEE 3rd Underwater Communications and Networking Conference, UComms 2016
Abbreviated titleUComms
CountryItaly
CityLerici
Period30/08/161/09/16

Keywords

  • IR-101903
  • METIS-318576
  • Cost function
  • Underwater communication
  • EWI-27361
  • Blind equalizers
  • Acoustic distortion
  • Adaptive equalizers

Cite this

Blom, K. C. H., Dol, H. S., Kokkeler, A. B. J., & Smit, G. J. M. (2016). Blind equalization of underwater acoustic channels using implicit higher-order statistics. In 2016 IEEE Third Underwater Communications and Networking Conference (UComms) (pp. 1-5). USA: IEEE. https://doi.org/10.1109/UComms.2016.7583462
Blom, K.C.H. ; Dol, Henry S. ; Kokkeler, Andre B.J. ; Smit, Gerardus Johannes Maria. / Blind equalization of underwater acoustic channels using implicit higher-order statistics. 2016 IEEE Third Underwater Communications and Networking Conference (UComms). USA : IEEE, 2016. pp. 1-5
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title = "Blind equalization of underwater acoustic channels using implicit higher-order statistics",
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keywords = "IR-101903, METIS-318576, Cost function, Underwater communication, EWI-27361, Blind equalizers, Acoustic distortion, Adaptive equalizers",
author = "K.C.H. Blom and Dol, {Henry S.} and Kokkeler, {Andre B.J.} and Smit, {Gerardus Johannes Maria}",
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Blom, KCH, Dol, HS, Kokkeler, ABJ & Smit, GJM 2016, Blind equalization of underwater acoustic channels using implicit higher-order statistics. in 2016 IEEE Third Underwater Communications and Networking Conference (UComms). IEEE, USA, pp. 1-5, 2016 IEEE 3rd Underwater Communications and Networking Conference, UComms 2016, Lerici, Italy, 30/08/16. https://doi.org/10.1109/UComms.2016.7583462

Blind equalization of underwater acoustic channels using implicit higher-order statistics. / Blom, K.C.H.; Dol, Henry S.; Kokkeler, Andre B.J.; Smit, Gerardus Johannes Maria.

2016 IEEE Third Underwater Communications and Networking Conference (UComms). USA : IEEE, 2016. p. 1-5.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Blind equalization of underwater acoustic channels using implicit higher-order statistics

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AU - Dol, Henry S.

AU - Kokkeler, Andre B.J.

AU - Smit, Gerardus Johannes Maria

N1 - eemcs-eprint-27361

PY - 2016/10/6

Y1 - 2016/10/6

N2 - In order to reduce the length of transmission time slots and energy consumption of underwater modems, this work focuses on equalization without the need for training sequences. This type of equalization is known as blind equalization. A blind equalizer cascade based on higher-order statistics is presented and evaluated using sea-trial replay data. The subcomponents of the cascade use increasingly stringent nonlinear cost criteria rooted in the constant modulus algorithm. Initial results reveal that the cascade can cope with the time variance of a realistic channel and largely mitigates its convolutional error.

AB - In order to reduce the length of transmission time slots and energy consumption of underwater modems, this work focuses on equalization without the need for training sequences. This type of equalization is known as blind equalization. A blind equalizer cascade based on higher-order statistics is presented and evaluated using sea-trial replay data. The subcomponents of the cascade use increasingly stringent nonlinear cost criteria rooted in the constant modulus algorithm. Initial results reveal that the cascade can cope with the time variance of a realistic channel and largely mitigates its convolutional error.

KW - IR-101903

KW - METIS-318576

KW - Cost function

KW - Underwater communication

KW - EWI-27361

KW - Blind equalizers

KW - Acoustic distortion

KW - Adaptive equalizers

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Blom KCH, Dol HS, Kokkeler ABJ, Smit GJM. Blind equalization of underwater acoustic channels using implicit higher-order statistics. In 2016 IEEE Third Underwater Communications and Networking Conference (UComms). USA: IEEE. 2016. p. 1-5 https://doi.org/10.1109/UComms.2016.7583462