基于亥姆霍兹方程最小二乘法的运动声源识别研究  

Helmholtz equation least squares method for moving sound source identification

作　　者：杨德森[1] 郭小霞[1] 时胜国[1] 胡博[1] 

机构地区：[1]哈尔滨工程大学水声工程学院,哈尔滨150001

出　　处：《振动与冲击》2012年第4期13-17,共5页Journal of Vibration and Shock

基　　金：受国防项目资助(B0820060400;51310080202)

摘　　要：为有效解决水下运动声源的噪声源识别问题,研究了基于移动框架技术(MFAH)和亥姆霍兹方程最小二乘法(HELS)的运动声源识别理论,建立了基于MFAH与HELS的组合声全息算法,并通过了水池实验验证。实验研究结果表明该组合算法能够对水下任意形状运动声源进行准确识别,能够获得较高的声源定位精度,并且适用的频率范围较宽;对于存在多个相干声源的复杂声场,仅要求阵列的全息测量面为重建面的1.3倍就能够较准确的识别定位噪声源,实现了用小测量面、快速识别定位运动噪声源,为进一步的工程应用提供了方便。To effectively detect the underwater moving sound source in noise source identification problem,the theory of moving sound source identification based on mobile framework technology（MFAH） combined with the Helmholtz equation least squares（HELS） was presented.Acoustic holography method based on MFAH and HELS was founded and experimentally verified by pond test.The experimental results show that the combination method can accurately identify underwater moving sound source.It can also obtain high source location accuracy and is of wide frequency range.When the complex sound field has multiple coherent sound sources,it only requires that the holographic array measurement on surface covers 1.3 times more than the area of reconstruction surface.Rapid identification about noise source localization movement which uses merely a small measuring surface area was realized and it provides convenience for engineering applications.

关 键 词：声全息 运动声源 HELS算法 移动框架技术 

分 类 号：TB535[理学—物理]