Comparison of beamforming algorithms based on localization of calibrating sound sources and air jet noise

  • Authors

    • V Ershov
    • V V. Palchikovskiy
    2018-04-20
    https://doi.org/10.14419/ijet.v7i2.23.11896
  • Anechoic chamber, beamforming, microphone array, noise pollution, sound sources.

  • Abstract

    The paper considers study of beamforming algorithms for localization of noise sources. The mathematical formulations are briefly described for the following algorithms: Delay-and-Sum Beamforming, Cross-spectral Beamforming, Deconvolution Approach for the Mapping of Acoustic Sources (DAMAS). Based on the mentioned algorithms the program codes were developed. Operability of the program codes was tested on virtual localization of the point sources. All algorithms demonstrated good ability to distinguish these sources at different frequencies at their close position relative to each other. Initially, experiments were based on localization of calibrating static sound sources (beepers) using Bruel & Kjaer 54-microphone array. The measured data were processed both in the Bruel & Kjaer software and in the developed software. For static point sources, all algorithms have shown good work quality. The experiments were also carried out for the localization of noise sources in a turbulent air jet. In this case, the best results were demonstrated by Cross-Spectral Beamforming algorithm.

     

     

  • References

    1. [1] Johnson DH, Dudgeon DE, Array Signal Processing. Concepts and Techniques, Prentice Hall, (1993).

      [2] Havelock D, Kuwano S, Vorlander M, Handbook of Signal Processing in Acoustics, Vol. 1, Springer, (2008).

      [3] Christensen JJ, Hald J, Technical review, Bruel & Kjær Sound & Vibration Measurement A/S, (2004).

      [4] Brooks TF, Humphreys WM, â€A deconvolution approach for the mapping of acoustic sources (DAMAS) determined from phased microphone arraysâ€, Journal of Sound and Vibration, Vol. 294, No. 4-5, (2006), pp. 856-879.

      [5] Bersenev YuV, Viskova TA, Belyaev IV, Palchikovskiy VV, Kustov OYu, Ershov VV, Burdakov RV, “Application of planar beamforming method to identification of spinning acoustic modesâ€, PNRPU Mechanics Bulletin, No. 1, (2016), pp. 26-38.

      [6] Palchikovskiy VV, Khramtsov IV, Ershov VV, Gornova DA, Selivanova AA, “Aeroacoustic investigations of subsonic jet in PNRPU anechoic chamberâ€, IOP Conference Series: Materials Science and Engineering, Vol. 208, (2017), pp. 1-6.

      [7] Palchikovskiy VV, Bersenev YuV, Makashov SYu, Belyaev IV, Korin IA, Sorokin EV, Khramtsov IV, Kustov OYu, “Tests of anechoic chamber for aeroacoustics investigationsâ€, AIP Conference Proceedings, Vol. 1770, (2016), pp. 1-6.

      [8] Kopiev VF, Palchikovskiy VV, Belyaev IV, Bersenev YuV, Makashov SYu, Khramtsov IV, Korin IA, Sorokin EV, Kustov OYu, “Construction of an anechoic chamber for aeroacoustic experiments and examination of its acoustic parametersâ€, Acoustical Physics, Vol. 63, No. 1, (2017), pp. 114-126.

      [9] Humphreys WM, Brooks TF, Hunter WW, Meadows KR, “Design and use of microphone directional arrays for aeroacoustic measurementsâ€, AIAA Paper, No. 98-0471, (1998), pp. 1-24.

      [10] Kroeber S, Ehrenfried K, Koop L, Lauterbach A, “In-flow calibration approach for improving beamforming accuracyâ€, Berlin Beamforming Conference, (2010), pp. 1-11.

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  • How to Cite

    Ershov, V., & V. Palchikovskiy, V. (2018). Comparison of beamforming algorithms based on localization of calibrating sound sources and air jet noise. International Journal of Engineering & Technology, 7(2.23), 119-123. https://doi.org/10.14419/ijet.v7i2.23.11896

    Received date: 2018-04-22

    Accepted date: 2018-04-22

    Published date: 2018-04-20