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DOA Estimation in Car for Abnormal Sound Localisation

Guan, Luyang, Fengshou, Gu, Fazenda, Bruno, Ball, Andrew, Yichun, Yang and Pengxiao, Teng (2009) DOA Estimation in Car for Abnormal Sound Localisation. In: 8th International Conference on Damage Assessment of Structures, 3-5 August 2009, Beijing, China. (Submitted)

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    Abstract

    Spurious noise in car cabinet can be not only annoying bust also indicative of some
    potential faults. A small square microphone array with 4 sensors was adopted in this paper to
    localize the sound source in car for fault diagnosis. A new voice activity detection (VAD) algorithm
    was proposed for the typical discontinuous short-time noise in car due to some fault and applied to
    direction of arrival (DOA) estimation as a pre-processing stage. Four different time delay estimation
    methods were compared based on the measurements from a typical passenger. Experimental results
    illustrate that the VAD algorithm is crucial to achieve robust fault localization performance and the
    generalized cross-correlation method with phase transform weighting function is an appropriate
    fault localizer in car.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: T Technology > T Technology (General)
    T Technology > TK Electrical engineering. Electronics Nuclear engineering
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Diagnostic Engineering Research Centre
    School of Computing and Engineering > Automotive Engineering Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
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    Depositing User: Sara Taylor
    Date Deposited: 17 Mar 2009 14:35
    Last Modified: 03 Dec 2010 11:26
    URI: http://eprints.hud.ac.uk/id/eprint/3660

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