Partial-CLEAN integration algorithm for aeroacoustics source region
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1.Digital Campus Construction Center, Chang′an University, Xi′an 710064 , China ; 2.State Key Laboratory of Aerodynamics, Mianyang 621000 , China

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TB53

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    Abstract:

    Source region integration algorithm is a kind of data processing method to extract noise characteristics of each component in wind tunnel test model. To solve the interference problem of integration results caused by sound source sidelobe outside the target integration, a partial-CLEAN integration algorithm was proposed. This algorithm divided the model region into target and non-target regions, and used the CLEAN algorithm to find the strongest sound source positions at each frequency point in the non-target region. It iteratively removed interference from non-target region sound sources on the target region, thereby achieving more accurate integral results. Through simulation and wind tunnel test data analysis, the algorithm can effectively separate mutually interfering noise sources, especially sound sources of 3 kHz and below, extract more accurate target sound sources, and provide a new tool for aerodynamic noise analysis.

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赵佳钐, 范正磊, 张俊龙. 气动噪声源局部CLEAN区域积分算法[J]. 国防科技大学学报, 2025, 47(4): 215-226.

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History
  • Received:December 11,2024
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  • Adopted:
  • Online: July 23,2025
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