基于改进统计最优近场声全息的空间多种声源声场重建

发布时间：2018-12-15 04:46

【摘要】：为获取空间多种声源声场信息,传统统计最优近场声全息需要较多高阶项数的波函数来重建声场,而随着波函数阶数的提高,该方法对误差的放大作用也越大;此外传统方法都采用与声源共形的全息测量面,限制了其应用范围。提出了一种基于平面测量的改进统计最优近场声全息方法,可在波函数阶数较低的情况下提高重建精度。首先通过分析空间多种声源的特点选取合适的波函数组合,然后用该组合求出声场传递矩阵,最后重建出目标声源声场。通过数值仿真验证了该方法的有效性和适用性。结果表明:该方法能够有效地降低重建所需波函数阶数,抑制高阶波数对误差的放大作用从而提高重建精度,即使全息面与声源不共形,也能准确地重建出目标声源声场。
[Abstract]:In order to obtain the sound field information of many kinds of sound sources, the traditional statistical optimal near-field acoustic holography needs more high-order term wave function to reconstruct the sound field, but with the increase of the order of the wave function, the larger the error is, the greater the effect of the method is. In addition, the traditional method uses holographic measurement plane conformal with sound source, which limits its application range. An improved statistical optimal near-field acoustic holography method based on plane measurement is proposed, which can improve the reconstruction accuracy when the order of wave function is low. The suitable combination of wave functions is selected by analyzing the characteristics of various sound sources in space, then the sound field transfer matrix is obtained by the combination, and finally the sound field of the target sound source is reconstructed. The effectiveness and applicability of the method are verified by numerical simulation. The results show that this method can effectively reduce the order of wave function needed for reconstruction, suppress the amplification of error by high order wave number, and improve the reconstruction accuracy. Even if the holographic plane is not conformal with the sound source, the sound field of the target sound source can be reconstructed accurately.
【作者单位】：西南科技大学信息工程学院;西南科技大学特殊环境机器人技术四川省重点实验室;国网重庆市电力公司电力科学研究院;
【基金】：国家自然科学基金资助项目(F011102) 特殊环境机器人技术四川省重点实验室开放基金(13zxtk06)
【分类号】：TB53

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