采用振速测量的改进统计最优近场声全息方法

发布时间：2018-04-18 23:08

本文选题：振速测量 + 统计最优　；参考：《应用声学》2017年05期

【摘要】：针对常规统计最优近场声全息在空间多源声场重建过程中所需波函数项数多、重建精度不理想的问题,本文提出了一种基于振速测量的改进统计最优近场声全息算法。与常规算法不同,改进算法主要根据声源特点选取合适的波函数组合来计算声场传递矩阵。通过数值仿真初步验证了该方法的准确性和有效性,并与常规算法进行了详细的对比分析。仿真结果表明,改进算法重建精度高,随频率的变化相对误差波动较小,且随着频率的增大相对误差有逐渐减小的趋势;此外,不同的波函数组合,重建效果差异很大,当选取的波函数与声源共形且数量一致时重建效果最好。
[Abstract]:In order to solve the problem that conventional statistical optimal near-field acoustic holography requires many terms of wave function and the reconstruction accuracy is not ideal in the process of spatial multi-source acoustic field reconstruction, an improved statistical optimal near-field acoustic holographic algorithm based on vibration velocity measurement is proposed in this paper.Different from the conventional algorithm, the improved algorithm mainly selects the appropriate combination of wave functions according to the characteristics of the sound source to calculate the sound field transfer matrix.The accuracy and effectiveness of the method are preliminarily verified by numerical simulation, and compared with the conventional algorithm in detail.The simulation results show that the reconstruction accuracy of the improved algorithm is high, and the relative error fluctuates little with the change of frequency, and the relative error decreases gradually with the increase of frequency, in addition, the effect of reconstruction varies greatly with different combinations of wave functions.When the selected wave function is conformal with the sound source and the number is the same, the reconstruction effect is the best.
【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;
【基金】：国家自然科学基金项目(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】：TB52

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