The DAMAS2 algorithm is a deconvolution method which can be used to quantify aircraft noise subcomponent spectral levels obtained using phased array measurements. This paper examines the effectiveness of the DAMAS2 algorithm for accurately determining flight test aircraft noise subcomponent spectral levels. First, the DAMAS2 subcomponent spectral levels are shown to be qualitatively correct through comparison with the expected behavior as seen in the phased array beamform maps. The DAMAS2 spectra are then compared to sample output from the original DAMAS algorithm and are seen to be generally within 0.1 dB of DAMAS algorithm spectral levels. Lastly, the shape of the cumulative DAMAS2 spectral levels are compared with single microphone spectra and are seen to be in very good agreement. The DAMAS2 algorithm is seen to be an effective tool for flight test aircraft noise subcomponent spectral measurement.


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    Title :

    DAMAS2 validation for flight test airframe noise measurements


    Additional title:

    Validierung der Lärmmessungen in der Flugzeugzelle bei Flugversuchen mit DAMAS2


    Contributors:


    Publication date :

    2008


    Size :

    7 Seiten, 5 Bilder, 1 Tabelle, 3 Quellen



    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English





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