Exact LTP representation of the generalized periodic-reference FxLMS algorithm

Tuomas Haarnoja, Kari Tammi, K. Zenger

    Research output: Contribution to journalArticleScientificpeer-review

    2 Citations (Scopus)

    Abstract

    The analysis of the Filtered-x Least Mean Square (FxLMS) algorithm can be based either on a stochastic or deterministic approach. One of the drawbacks of the stochastic analysis is that it relies on several assumptions which are not justified if the reference signal is time periodic. To overcome these limitations, several deterministic methods have been suggested. However, useful results have been reported only for setups with certain filter length, secondary path model, or reference signal. In this paper, an exact Linear Time-Periodic (LTP) representation is proposed assuming only that the reference is synchronously-sampled. The representation is derived for a general FxLMS system, which also covers the multichannel topology of several parallel filters and its common narrowband modification. The representation is found to have a Linear Time-Invariant (LTI) form if the filter length is suitably chosen. The usability of the method is demonstrated in a numerically computed example by comparing it to an approximate LTI model.
    Original languageEnglish
    Pages (from-to)121-130
    Number of pages10
    JournalIEEE Transactions on Signal Processing
    Volume62
    Issue number1
    DOIs
    Publication statusPublished - 2014
    MoE publication typeA1 Journal article-refereed

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    Topology

    Keywords

    • active noise control (ANC)
    • convergence analysis
    • convergent control (CC)
    • filtered-x least mean square (FxLMS)
    • higher harmonic control (HHC)
    • multichannel FxLMS
    • narrowband FxLMS
    • state-space representation

    Cite this

    Haarnoja, Tuomas ; Tammi, Kari ; Zenger, K. / Exact LTP representation of the generalized periodic-reference FxLMS algorithm. In: IEEE Transactions on Signal Processing. 2014 ; Vol. 62, No. 1. pp. 121-130.
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    abstract = "The analysis of the Filtered-x Least Mean Square (FxLMS) algorithm can be based either on a stochastic or deterministic approach. One of the drawbacks of the stochastic analysis is that it relies on several assumptions which are not justified if the reference signal is time periodic. To overcome these limitations, several deterministic methods have been suggested. However, useful results have been reported only for setups with certain filter length, secondary path model, or reference signal. In this paper, an exact Linear Time-Periodic (LTP) representation is proposed assuming only that the reference is synchronously-sampled. The representation is derived for a general FxLMS system, which also covers the multichannel topology of several parallel filters and its common narrowband modification. The representation is found to have a Linear Time-Invariant (LTI) form if the filter length is suitably chosen. The usability of the method is demonstrated in a numerically computed example by comparing it to an approximate LTI model.",
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    Exact LTP representation of the generalized periodic-reference FxLMS algorithm. / Haarnoja, Tuomas; Tammi, Kari; Zenger, K.

    In: IEEE Transactions on Signal Processing, Vol. 62, No. 1, 2014, p. 121-130.

    Research output: Contribution to journalArticleScientificpeer-review

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    AU - Haarnoja, Tuomas

    AU - Tammi, Kari

    AU - Zenger, K.

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    AB - The analysis of the Filtered-x Least Mean Square (FxLMS) algorithm can be based either on a stochastic or deterministic approach. One of the drawbacks of the stochastic analysis is that it relies on several assumptions which are not justified if the reference signal is time periodic. To overcome these limitations, several deterministic methods have been suggested. However, useful results have been reported only for setups with certain filter length, secondary path model, or reference signal. In this paper, an exact Linear Time-Periodic (LTP) representation is proposed assuming only that the reference is synchronously-sampled. The representation is derived for a general FxLMS system, which also covers the multichannel topology of several parallel filters and its common narrowband modification. The representation is found to have a Linear Time-Invariant (LTI) form if the filter length is suitably chosen. The usability of the method is demonstrated in a numerically computed example by comparing it to an approximate LTI model.

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    KW - convergence analysis

    KW - convergent control (CC)

    KW - filtered-x least mean square (FxLMS)

    KW - higher harmonic control (HHC)

    KW - multichannel FxLMS

    KW - narrowband FxLMS

    KW - state-space representation

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