基于相干声源CLEAN算法的常规风洞声源辨识研究

The study of noise source identifying in wind tunnel with clean arithmetic based on spatial source coherence

  • 摘要: 发展应用了基于相干声源假设的CLEAN优化算法,该算法通过反复引入洁净波束来代替波束图上主瓣,逐步去掉由于背景噪声或者阵列阵元分布特点引入的旁瓣。用该算法对风洞实验结果进行了优化,提高了低频噪声的分辨率和试验的信噪比。还首次提出衡量相阵列声源分辨率的综合指标系数K,它综合反映了不同分析频率、不同阵列与声源平面距离对声源分辨率的影响,在一定程度上可以提高阵列设计的效率。

     

    Abstract: The CLEAN arithmetic based on Spatial Source Coherence is developed and then applied to the wind tunnel test in the paper. The mechanism for this method is introducing a clean beam to instead the main lobe of beam picture iteratively, and getting rid of side lobe for background noise of wind tunnel or microphones distribution in phase array. The data from test in wind tunnel is optimized with this method. The results show that it improves the resolving power of low frequency noise and increases the signal-to-noise of the aero-acoustics test greatly. In the paper, coefficient K for judging the performance of phase array is also introduced, which including the effect to the resolving power both for frequency and distance from array to sound source plane. To some point, it is helpful to improve the efficiency for the coefficient K inducted.

     

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