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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2022, Vol. 43 ›› Issue (2): 124901.doi: 10.7527/S1000-6893.2020.24901

• Fluid Mechanics and Flight Mechanics • Previous Articles     Next Articles

A method for separation of monopole and dipole sources based on phased microphone array

ZHOU Wei1, YANG Mingsui2, MA Wei3,4   

  1. 1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;
    2. AECC Shenyang Engine Research Institute, Shenyang 110015, China;
    3. School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China;
    4. Engineering Research Center of Gas Turbine and Civil Aero Engine, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2020-10-20 Revised:2020-11-12 Published:2020-12-03
  • Supported by:
    National Science and Technology Major Project (2017-Ⅱ-003-0015)

Abstract: As an acoustic field visualization technology, beamforming based on the monopole assumption has been widely applied in identifying acoustic sources. However, in practical engineering applications, complex types of sound sources make it difficult for beamforming based on the single sound source assumption to identify different types of sound sources pertinently. This paper proposes a hybrid deconvolution method to separate the combined sources containing monopoles and dipoles. The approach constructs a linear equation between the beamforming output and the actual sound source distribution, and monopoles and dipoles can be extracted from the combined sources by solving this linear equation. Four simulation cases and three experimental cases are designed to check the hybrid deconvolution algorithm. The combined sources in the experiment are composed of a dipole formed by a cylindrical spoiler and a monopole caused by a speaker. The results indicate that this method can separate the combined sound sources effectively and ensure the accuracy of the sound source strength, despite the multipoles. This method is expected to be applied in aerodynamic noise recognition, extracting target sources from high-speed jet noise, and better studying the composition of jet noise.

Key words: sound sources separation, combined sources, hybrid deconvolution, liner equation, source model

CLC Number: