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

作　　者：张一澍[1] 马宏伟[1] 王星[1] 王浩添 

机构地区：[1]西安科技大学机械工程学院,陕西西安710054

出　　处：《现代电子技术》2017年第21期158-161,166,共5页Modern Electronics Technique

基　　金：国家自然科学基金(51074121)

摘　　要：基于Neumann边界条件下的空间声场变换主要采用k-空间格林函数法,为保证该算法的稳定性与可靠性,声场重构过程必须采取波数滤波处理。针对固定截止波数不能适应滤波要求的局限性,分析波数域内的噪声分布,对信噪比进行估计,进而选取合适的截止波数,有效减少了携带声场细节信息的高波数成分的损失。数值仿真结果验证了该滤波方法的可行性和正确性。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 requirement,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 

分 类 号：TN713[电子电信—电路与系统] TB532[理学—物理]