现代电子技术2017，Vol.40Issue(21)：158-161,166,5.DOI:10.16652/j.issn.1004-373x.2017.21.042
基于k-空间格林函数的近场声全息滤波方法研究
Study on near-field acoustic holography filtering method based on k-space Green function
摘要
Abstract
The k-space Green function method is used in space transformation of sound field under the Neumann boundary condition. In order to ensure the stability and reliability of the algorithm,the k-space filtering processing must be adopted in the sound field reconstruction process of the algorithm. Since the fixed cutoff wavenumber exists the limitation for filtering require-ment,the noise distribution in k-space is analyzed,and the signal-to-noise ratio(SNR)is estimated to select the suitable cutoff wavenumber to effectively reduce the loss of the high wavenumber component with the detail information of the sound field. The numerical simulation results show that the filtering method is feasible and valid.关键词
近场声全息/格林函数/波数域滤波/截止波数/信噪比Key words
NAH/Green function/k-space filtering/cutoff wavenumber/SNR分类
信息技术与安全科学引用本文复制引用
张一澍,马宏伟,王星,王浩添..基于k-空间格林函数的近场声全息滤波方法研究[J].现代电子技术,2017,40(21):158-161,166,5.基金项目
国家自然科学基金(51074121) （51074121）
