跳到主要导航 跳到搜索 跳到主要内容

Comparison of two state-of-the-art rotating dipole sound source imaging technologies: Models, algorithms and applications

  • Liang Yu
  • , Qiulan Jing
  • , Ran Wang
  • , Rujie Ji
  • , Weikang Jiang
  • Shanghai Jiao Tong University
  • Shanghai Maritime University

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

The acoustic imaging technology for rotating dipole sources has been one of the topics concerned. In recent years, two state-of-the-art imaging technologies for rotating dipole sources were proposed, including beamforming technologies based on the predefined axis direction (PAD-DBF) and frequency-domain deconvolution (FDD-DBF). However, a systematic comparison of these two imaging technologies does not currently exist. In this paper, the models and imaging algorithms are firstly systematically compared and analyzed to explore the differences between the two technologies and provide guidance on the application of the technology. Secondly, extensive simulations are investigated to analyze the performance of the two imaging technologies under different working conditions. Finally, the two imaging technologies are applied to the semi-anechoic chamber test for rotating dipole sources and the actual BO105 rotor wind tunnel test, respectively, which is further used to compare and validate the imaging effectiveness and applicability of the two technologies. The analysis shows that both technologies can effectively achieve rotating dipole source localization. The PAD-DBF technology can achieve a more accurate rotating dipole source location, higher imaging resolution at a lower time cost, and it can get more robust imaging results in the low signal-to-noise ratio (SNR) of the wind tunnel environment. In contrast, the FDD-DBF technology can get a more accurate sound source magnitude while effectively imaging the rotating dipole source.

源语言英语
文章编号109515
期刊Applied Acoustics
211
DOI
出版状态已出版 - 8月 2023
已对外发布

指纹

探究 'Comparison of two state-of-the-art rotating dipole sound source imaging technologies: Models, algorithms and applications' 的科研主题。它们共同构成独一无二的指纹。

引用此