| 王秀清,王海燕,张春霞.统计最优柱面近场声全息识别声发射源研究[J].声学技术,2013,32(3):175~180 |
| 统计最优柱面近场声全息识别声发射源研究 |
| Study of distinguishing acoustic emission source with statistically optimal cylindrical near-field acoustical holography |
| 投稿时间：2012-05-12 修订日期：2012-08-04 |
| DOI：10.3969/j.issn1000-3630.2013.03.001 |
| 中文关键词: 统计最优 近场声全息 声发射 声源定位 |
| 英文关键词: statistical optimum near-field acoustic holography acoustic emission sound source localization |
| 基金项目:国家自然科学基金资助项目(61071207) |
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| 摘要点击次数: 1516 |
| 全文下载次数: 1673 |
| 中文摘要: |
| 植物在受到病害胁迫时会发出声发射信号。通过声发射信号的采集, 以统计最优柱面近场声全息技术为理论依据, 进行植物的声源信号识别和声场分析。对单声源和多声源分别进行了仿真分析, 通过不断修改全息柱面半径、重建柱面半径和测量点间距等参数, 探索获得最佳重建效果的参数范围, 同时探讨了窗函数对重建效果的影响。将基于统计最优算法的柱面近场声全息与基于空间傅里叶变换算法的柱面近场声全息进行了比较, 仿真结果表明, 单声源时基于空间傅里叶变换技术计算的重建面声压幅值相对误差均在-10dB以下, 而统计最优柱面声全息技术计算的重建面声压幅值相对误差均在-15dB以下, 多声源时基于空间傅里叶变换技术计算的重建面声压幅值相对误差基本在-2dB左右, 而统计最优柱面声全息技术计算的重建面声压幅值相对误差在-26dB以下, 充分表明了统计最优柱面声全息技术的优越性。 |
| 英文摘要: |
| Acoustic emission signal will be released when plants are under disease stress. By collecting the acoustic emission signals of the plants and with the statistically optimal cylindrical near-field acoustic holography (SOCNAH) technique as the theoretical basis, the recognition to the acoustic emission signals of plants and the sound field analysis are conducted. Simulative analyses for single sound source and multiple sound sources are respectively made. Through constantly modifying several parameters such as the radii of the holographic cylinder (rH) and reconstructed cylinder (rS) and the spaces between measuring points, the ranges of parameters for the best reconstruction results are obtained, and meantime, the effect of window function on reconstruction is discussed. The algorithm based on SOCNAH is compared with the algorithm based on the spatial Fourier transform cylindrical near-field acoustic holography, and the simulation results show that for single sound source and multiple sound sources, the relative errors of the reconstructed surface sound pressure amplitudes are respectively below -10dB and about -2dB for the spatial Fourier transform cylindrical near-field acoustic holography, but for SOCNAH the relative errors respectively are below -15 dB and about -26 dB respectively, which fully indicates the superiority of SOCNAH. |
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