耿胜远,张学勇,胡乾勇.基于压缩感知的等效源近场声全息[J].安徽建筑大学学报,2021,29(): |
基于压缩感知的等效源近场声全息 |
Near-field Acoustic Holography Technology Based on Compressed Sensing Theory and Equivalent Source Method |
投稿时间:2020-12-07 修订日期:2021-04-28 |
DOI: |
中文关键词: 近场声全息 压缩感知 等效源法 声场重建 声源识别 |
英文关键词: near-field acoustic holography compression sensing equivalent source method sound field reconstruction sound source recognition |
基金项目:国家自然科学基金项目(No.61471003);国家重点研发计划项目(No. 2018YFB2003801) |
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中文摘要: |
压缩感知利用感知矩阵可从稀疏信号中高概率重建出原始信号,本文介绍一种压缩感知稀疏采样等效源近场声全息方法,对频率为1500 Hz的两个单极子声源和频率在500 HZ 、1000 HZ 、2000 HZ时的六个单极子声源,通过采用21×21网格点(441个)及121个随机数据采样点,分别进行声场重建与声源识别仿真实验,与传统等效源近场声全息方法进行比较,结果表明,对较少数据采样点,压缩感知等效源近场声全息方法具有更高的声场重建能力和声源定位及识别精度。 |
英文摘要: |
Compressed Sensing is a technique that uses a perception matrix to reconstruct the original signal with high probability from sparse signals. Near-field acoustic holography method based on compressed sensing sparse sampling and equivalent source is presented. By using 21×21 grid points (441) and 121 random data sampling points, two monopole sub-sound sources with frequency of 1500 Hz and six monopole sub-sound sources with frequency of 500 Hz 、1000 Hz 、2000 Hz are reconstructed and recognized, respectively. The results show that the proposed method has higher sound field reconstruction ability and sound source location and recognition accuracy for less data sampling points. |
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