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
    @inproceedings{28490bb909bc44baabe2c25d131fe47e,
    title = "Blind equalization of underwater acoustic channels using implicit higher-order statistics",
    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.",
    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}",
    note = "eemcs-eprint-27361",
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    doi = "10.1109/UComms.2016.7583462",
    language = "Undefined",
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    publisher = "IEEE",
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    booktitle = "2016 IEEE Third Underwater Communications and Networking Conference (UComms)",
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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

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    AU - Dol, Henry S.

    AU - Kokkeler, Andre B.J.

    AU - Smit, Gerardus Johannes Maria

    N1 - eemcs-eprint-27361

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    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.

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    KW - METIS-318576

    KW - Cost function

    KW - Underwater communication

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    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