Volume 36 Issue 1
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ZHOU Wei, BAO Huan, YANG Mingsui, MA Wei. Application of advanced beamforming in rotating sound source localization[J]. Journal of Aerospace Power, 2021, 36(1): 193-204. doi: 10.13224/j.cnki.jasp.2021.01.022
Citation: ZHOU Wei, BAO Huan, YANG Mingsui, MA Wei. Application of advanced beamforming in rotating sound source localization[J]. Journal of Aerospace Power, 2021, 36(1): 193-204. doi: 10.13224/j.cnki.jasp.2021.01.022
shu

Application of advanced beamforming in rotating sound source localization

doi: 10.13224/j.cnki.jasp.2021.01.022
  • 1.

    School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China

  • 2.

    Engineering Research Center of Gas Turbine and Civil Aero Engine,Ministry of Education,Shanghai Jiao Tong University,Shanghai 200240,China

  • 3.

    Shenyang Engine Research Institute,Aero Engine Corporation of China,Shenyang 110015,China

  • 4.

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

  • 5.

    Engineering Research Center of Gas Turbine and Civil Aero Engine,Ministry of Education,Shanghai Jiao Tong University,Shanghai 200240,China

  • Received Date: 2020-04-28
  • Publish Date: 2021-01-28
    Abstract
  • Functional beamforming, compressive sensing beamforming, and orthogonal beamforming in advanced beamforming have not been widely used in rotating sound source localization. The applications of three above advanced beamforming in rotating sound source localization were studied, and compared with conventional rotating beamforming and deconvolution approach in terms of the spatial resolution, dynamic range and source power integration for the mapping of acoustic sources (DAMAS). The simulation and experiment results showed that the three advanced beamforming can be applied to the rotating sound source localization successfully, and also can significantly improve the spatial resolution and dynamic range of the rotating sound source with higher computation efficiency. The functional beamforming had a lower spatial resolution than DAMAS in the low frequency band and was prone to high source power integration error. The performance of compressive sensing beamforming was closest to DAMAS, and the spatial resolution in the low frequency band was better than DAMAS. Orthogonal beamforming was prone to generate sound source localization position error within the low frequency range, the ability of anti-interference was weak, and source power integration was lower than DAMAS.

     

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    • References(27)
  • [1]
    HUMPHREYS J W,BROOKS T,HUNTER J W,et al.Design and use of microphone directional arrays for aeroacoustic measurements［R］.AIAA-98-0471,1998.
    [2]
    DOUGHTERTY R P.Beamforming in acoustic testing［M］.Berlin:Springer,2002.
    [3]
    BROOKS T F,HUMPHREYS W M.A deconvolution approach for the mapping of acoustic sources (DAMAS) determined from phased microphone arrays［J］.Journal of Sound and Vibration,2006,294(4):856-879.
    [4]
    SIJTSMA P.CLEAN based on spatial source coherence［J］.International Journal of Aeroacoustics,2007,6(4):357-374.
    [5]
    DOUGHERTY R P.Functional beamforming for aeroacoustic source distributions［R］.AIAA-2014-3066,2014.
    [6]
    ZHONG Siyang,WEI Qingkai,HUANG Xun.Compressive sensing beamforming based on covariance for acoustic imaging with noisy measurements［J］.The Journal of the Acoustical Society of America,2013,134(5):445-451.
    [7]
    XENAKI A,GERSTOFT P,MOSEGAARD K.Compressive beamforming［J］.The Journal of the Acoustical Society of America,2014,136(1):260-271.
    [8]
    宁方立,张超,潘峰,等.飞机起落架噪声源定位的压缩感知算法［J］.航空学报,2018,39(5):81-91. NING Fangli,ZHANG Chao,PAN Feng,et al.Compressive sensing algorithm for sound source location of aircraft landing gear［J］.Acta Aeronautica et Astronautica Sinica,2018,39(5):81-91.(in Chinese)
    [9]
    SARRADJ E.A fast signal subspace approach for the determination of absolute levels from phased microphone array measurements［J］.Journal of Sound and Vibration,2010,329(9):1553-1569.
    [10]
    SIJTSMA P,OERLEMANS S,HOLTHUSEN H.Location of rotating sources by phased array measurements［R］.AIAA-2001-2167,2001.
    [11]
    SIJTSMA P.Using phased array beamforming to identify broadband noise sources in a turbofan engine［J］.Noise Notes,2011,10(1):39-52.
    [12]
    MO Pingxi,JIANG Weikang.A hybrid deconvolution approach to separate static and moving single-tone acoustic sources by phased microphone array measurements［J］.Mechanical Systems and Signal Processing,2017,84:399-413.
    [13]
    PANNERT W,MAIER C.Rotating beamforming-motion-compensation in the frequency domain and application of high-resolution beamforming algorithms［J］.Journal of Sound and Vibration,2014,333(7):1899-1912.
    [14]
    HEROLD G,SARRADJ E.Microphone array method for the characterization of rotating sound sources in axial fans［J］.Noise Control Engineering Journal,2015,63(6):546-551.
    [15]
    OCKER C,PANNERT W.Imaging of broadband noise from rotating sources in uniform axial flow［J］.AIAA Journal,2016,55(4):1185-1193.
    [16]
    SIJTSMA P.Phased array beamforming applied to wind tunnel and fly-over tests［R］.SAE 2010-36-0514,2010.
    [17]
    POLETTI M A.Series expansions of rotating two and three dimensional sound fields［J］.The Journal of the Acoustical Society of America,2010,128(6):3363-3374.
    [18]
    POLETTI M A,TEAL P D.Comparison of methods for calculating the sound field due to a rotating monopole［J］.The Journal of the Acoustical Society of America,2011,129(6):3513-3520.
    [19]
    BARON V,FINEZ A,NICOLAS B.Numerical and experimental assessment of functional beamforming for source quantification［R］.BeBeC-2018-S08,2018.
    [20]
    DOUGHERTY R P.Determining spectra of aeroacoustic sources from microphone array data［R］.AIAA-2019-2745,2019.
    [21]
    HEROLD G,OCKER C,SARRADJ E,et al.A comparison of microphone array methods for the characterization of rotating sound sources［R］.Berlin Beamforming Conference,BeBec-2018-D22,2018.
    [22]
    MA Wei,LIU Xun.DAMAS with compression computational grid for acoustic source mapping［J］.Journal of Sound and Vibration,2017,410:473-484.
    [23]
    MA Wei,LIU Xun.Improving the efficiency of DAMAS for sound source localization via wavelet compression computational grid［J］.Journal of Sound and Vibration,2017,395:341-353.
    [24]
    MA Wei,LIU Xun.Compression computational grid based on functional beamforming for acoustic source localization［J］.Applied Acoustics,2018,134:75-87.
    [25]
    PETER W.The use of fast Fourier transform for the estimation of power spectra:a method based on time averaging over short,modified periodograms［J］.IEEE Transactions on Audio and Electroacoustics.1967,15(2):70-73.
    [26]
    CHI Yuejie,SCHARF L L,PEZESHKI A,et al.Sensitivity to basis mismatch in compressed sensing［J］.IEEE Transactions on Signal Processing,2011,59(5):2182-2195.
    [27]
    鲍欢,杨明绥,马威.麦克风阵列安装偏差引起的旋转声源定位误差［J］.航空动力学报,2019,34(8):1708-1716. BAO Huan,YANG Mingsui,MA wei.Error in rotating sound source localization caused by installation deviation of microphone array［J］.Journal of Aerospace Power,2019,34(8):1708-1716.(in Chinese)
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