摘要
格林函数作为近场声全息算法的传递函数,其傅里叶(Fourier)谱的准确获取是声场高精度重建的前提。该文详细介绍了近场声全息的基本原理,推导了两种格林函数傅里叶谱的获取方法,并通过仿真对水下多声源进行逆向重构定位。仿真结果表明,声源较少时,两种方法的定位误差均不超过5cm,且声源声压幅值对应成比例;当声源数较多时,基于K-空间抽样格林函数具有抑制多声源相干产生的虚拟声源的鲁棒性,更适于多噪声源的定位。
As the transfer function of the near field acoustic holography （NAH） algorithm, the accurate acquisi-tion of Green Function Fourier spectrum is the prerequisite for the high precision reconstruction of the sound field. In this paper, the basic principle of NAH is presented and two kinds of the acquisition methods of the Green Func-tion＇s Fourier spectrum are introduced in detail. Then through the simulation of underwater sound source for the re-verse reconstruction so as to complete the sound source localization. The results show that when the sound source is less,the positioning error of the two methods were less than 5 cm, and the acoustic pressure amplitude of the source is proportional; while when the sound source number is larger, the sound field reconstruction based on the K-space sampling Green function has the robustness to suppress virtual sound sources generated by the multiple sound sources, which is more suitable for the location of multiple noise sources.
出处
《压电与声光》
CSCD
北大核心
2017年第3期378-382,共5页
Piezoelectrics & Acoustooptics
基金
"十二五"国防预研基金资助项目(4010603020301)
关键词
近场声全息
格林函数
多声源
逆向定位
抽样
near-field acoustic holography
Green function
multi sound source
reverse localization
sample
