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WANG Jiayu, ZHANG Ce, MA Wei. Improving the computational efficiency of rotating sound source localization via compression computational grid method[J]. Journal of Aerospace Power, 2021, 36(1): 176-184. doi: 10.13224/j.cnki.jasp.2021.01.020
Citation: WANG Jiayu, ZHANG Ce, MA Wei. Improving the computational efficiency of rotating sound source localization via compression computational grid method[J]. Journal of Aerospace Power, 2021, 36(1): 176-184. doi: 10.13224/j.cnki.jasp.2021.01.020
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Improving the computational efficiency of rotating sound source localization via compression computational grid method

doi: 10.13224/j.cnki.jasp.2021.01.020

  • School of Aeronautics and Astronautics,Shanghai Jiao Tong University,Shanghai 200240,China

  • Received Date: 2020-07-02
  • Publish Date: 2021-01-28
    Abstract
  • In order to improve the computational efficiency of the classical time-domain rotating source identifier (ROSI) beamforming, two different compression computational grid methods were proposed: one based on conventional beamforming, namely CG2, and the other one obtained from ROSI beamforming with a little amount of sample data, namely CG4. Experimental applications showed that both compression grid methods did not affect the effectiveness of the ROSI algorithm for rotating sound source localization. ROSI beamforming with CG2 can improve the computational efficiency of the ROSI algorithm for rotating sound source localization by a factor of 1 to 2, while ROSI beamforming with CG4 can improve the computational efficiency of the ROSI algorithm for rotating sound source localization by a factor of 13 to 18. In addition, ROSI beamforming with CG4 can still accurately locate the rotating sound source even if the microphone array plane run perpendicular to the rotating sound source plane.

     

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    • References(21)
  • [1]
    乔渭阳,王良锋.航空发动机气动声学［M］.西安:西北工业大学出版社,2016.
    [2]
    MICHEL U.History of acoustic beamforming［R］.Berlin:the 1st Berlin Beamforming Conference,2006.
    [3]
    MERINO-MARTINEZ R,SIJTSMA P,SNELLEN M,et al.A review of acoustic imaging methods using phased microphone arrays［J］.CEAS Aeronautical Journal,2010,10(1):197-230.
    [4]
    MA W,BAO H,ZHANG C,et al.Beamforming of phased microphone array for rotating sound source localization［J］.Journal of Sound and Vibration,2020,467:115064.1-115064.17.
    [5]
    LOWIS C,JOSEPH P.Inversion technique for determining the strength of rotating broadband sources in ducts［R］.AIAA-2005-3018,2005.
    [6]
    LOWIS C,JOSEPH P.Determining the strength of rotating broadband sources in ducts by inverse methods［J］.Journal of Sound and Vibration,2006,295(3/4/5):614-632.
    [7]
    LOWIS C,JOSEPH P.A focused beamformer technique for separating rotor and stator-based broadband sources［R］.AIAA-2006-2710,2006.
    [8]
    DOUGHERTY R,WALKER B.Virtual rotating microphone imaging of broadband fan noise［R］.AIAA-2009-3121,2009.
    [9]
    TOTH B,KALMAR-NAGY T,VAD J.Rotating beamforming with uneven microphone placements［R］.Berlin:the 7th Berlin Beamforming Conference,2018.
    [10]
    SIJTSMA P,OERLEMANS S,HOLTHUSEN H.Location of rotating sources by phased array measurements［R］.AIAA-2001-2167,2001.
    [11]
    OERLEMANS S,SIJTSMA P,LPEZ B.Location and quantification of noise sources on a wind turbine［J］.Journal of Sound and Vibration,2007,299(4/5):869-883.
    [12]
    MINCK O,BINDER N,CHERRIER O,et al.Fan noise analysis using a microphone array［R］.Senlis，France：2012 International Conference on Fan Noise,Technology,and Numerical Methods,2012.
    [13]
    DEBROUWERE M,ANGLAND D.Airy pattern approximation of a phased microphone array response to a rotating point source［J］.The Journal of the Acoustical Society of America,2017,141(2):1009-1018.
    [14]
    BROOKS T,HUMPHREYS W.A deconvolution approach for the mapping of acoustic sources (DAMAS) determined from phased microphone arrays［J］.Journal of Sound and Vibration,2006,294(4/5):856-879.
    [15]
    SIJTSMA P.CLEAN based on spatial source coherence［J］.International Journal of Aeroacoustics,2007,6(4):357-374.
    [16]
    MA W,LIU X.Improving the efficiency of DAMAS for sound source localization via wavelet compression computational grid［J］.Journal of Sound and Vibration,2017,395:341-353.
    [17]
    MA W,LIU X.DAMAS with compression computational grid for acoustic source mapping［J］.Journal of Sound and Vibration,2017,410:473-484.
    [18]
    MA W,LIU X.Compression computational grid based on functional beamforming for acoustic source localization［J］.Applied Acoustics,2018,134:75-87.
    [19]
    WANG J,MA W.Deconvolution algorithms of phased microphone arrays for the mapping of acoustic sources in an airframe test［J］.Applied Acoustics,2020,164:107283.1-107283.13.
    [20]
    杨洋,褚志刚,倪计民,等.除自谱的互谱矩阵波束形成的噪声源识别技术［J］.噪声与振动控制,2011,31(4):145-148.
    YANG Yang,CHU Zhigang,NI Jimin,et al.Research on algorithm of sound source identification based on cross-spectral beamforming with exclusion of autospectra［J］.Noise and Vibration Control,2011,31(4):145-148.(in Chinese)
    [21]
    HUANG X.Real-time algorithm for acoustic imaging with a microphone array［J］.The Journal of the Acoustical Society of America,2009,125(5):EL190-195.
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