基于振速测量的HELS方法研究  

Experimental research on reconstructing an acoustic field using the HELS method with the measurement of particle velocity

作　　者：杨德森[1] 郭小霞[1] 时胜国[1] 

机构地区：[1]哈尔滨工程大学水声工程学院,黑龙江哈尔滨150001

出　　处：《哈尔滨工程大学学报》2011年第5期618-623,671,共7页Journal of Harbin Engineering University

基　　金：国防基础研究基金资助项目(B0820060400;51310080202)

摘　　要：为了提高重建声场中质点振速量的重建精度,在传统基于声压测量的Helmholtz方程最小二乘(HELS)方法理论基础上,推导得到了基于振速测量HELS声场重建的测量模型,简称振速模型.给出了该模型的声场重建算法和参数选取的基本原则,并对基于振速模型的声场重建和声压模型的声场重建进行仿真计算比较结果表明,新模型较传统模型的声场重建精度更高,有较强的抗噪声能力且能够更准确的识别定位声源,尤其是对振速量重建具有更明显的优势.试验研究中,通过选取不同工况进一步证明了振速模型重建声场中振速量的优越性,显示了其在工程实践中广泛的应用前景.In order to enhance the reconstructive resolution of particle vibration velocity in a reconstructive sound field,a new Helmholtz equation least squares（HELS） method reconstruction model was presented with an underwater particle velocity measurement according to the HELS theory.It was referred to as a particle velocity model.In this paper,a reconstruction algorithm and law for choosing physical parameters were put forward,and the anti-noise principle of the model was also analyzed from the numerical solution perspective.Compared with the pressure model for identifying an underwater noise source,the model based on the particle velocity behaves noticeably better in the analysis of precision,being less sensitive to transducer mismatch,and more accurate for source orientation.As a result of a series of experiments in different situations,the particle velocity model was proven to be ascendant to the traditional model in particle velocity reconstruction.Therefore the particle velocity model is feasible and possesses widely a practical engineering application basis.

关 键 词：Helmholtz方程最小二乘法 平面近场声全息 法向质点振速 水下噪声源识别 

分 类 号：TB535[理学—物理]