Feedback active noise control based on transform domain forward-backward LMS predictor

Pavithra , S and Narasimhan, SV (2012) Feedback active noise control based on transform domain forward-backward LMS predictor. Signal, Image and Video Processing . pp. 1-9. ISSN 1863-1711

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    Abstract

    In this paper, a new feedback active noise control (FBANC) system based on transform-domain Forward-Backward LMS (TFBLMS) predictor has been proposed. The new ANC system employs transform-domain forward-backward predictor both for its main path (MP) predictor and for the noise canceller for the secondary path (SP) identification. The main path predictor based on TFBLMS improves the convergence rate due to input orthogonalization and the FBLMS nature as it provides reduced misadjustment, results in a decreased residual error / noise field. Further, use of TFBLMS predictor for noise canceller gives a good prediction of primary noise at a faster rate, which enables improved SP identification and this indirectly aids the MP predictor to achieve an improved performance. The new MP predictor has been realized by proposing a new FXLMS structure to accommodate the TFBLMS algorithm. But for the noise canceller for SP identification, the TFBLMS algorithm is applied directly. The proposed new ANC system been found to be having a significantly better noise reduction (by 14.6 dB) over the FBANC system based on FBLMS algorithm.

    Item Type: Journal Article
    Additional Information: Copyright to this article belongs to M/s. Springer-Verlag
    Uncontrolled Keywords: Forward backward LMS predictor;Transform domain Forward backward LMS (TFBLMS) predictor;FXLMS algorithm based on TFBLMS predictor;Feedback Active noise control
    Subjects: ENGINEERING > Communications and Radar
    ENGINEERING > Electronics and Electrical Engineering
    Division/Department: Other, Aerospace Electronics and Controls Division
    Depositing User: Ms. Alphones Mary
    Date Deposited: 04 Jan 2013 14:27
    Last Modified: 04 Jan 2013 14:27
    URI: http://nal-ir.nal.res.in/id/eprint/11413

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