矢量阵测量统计最优近场声全息的运动声源识别方法与实验研究

Moving sound source identification based on statistically optimized near field acoustical holography using vector hydrophone array measurements

为了有效解决水下大型结构或大型声源的近场声全息(NAH)测试与噪声源识别问题,研究了基于矢量阵测量的近场声全息的运动声源识别理论.在统计最优平面NAH理论基础上,建立了基于声压-振速测量的运动声源识别方法,并通过水池实验研究证明该识别方法能对水下运动声源进行准确识别.该方法可应用于水下大型结构或大型声源NAH的连续扫描测试,有效地解决传统测量方式的测量工作量大、测试时间长等问题.

A moving sound source identification method was proposed,based on near field acoustical holography using vector hydrophone array measurements.The intention was to overcome limitations of the traditional near-field acoustic holography（NAH） technique when analyzing vibrations and sound fields of underwater structures.Based on a statistically optimized NAH,a moving sound source identification method was developed using sound pressure and particle velocity measurements.The results of experiments proved the validity of the method.This method may be useful for continuous scanning measurements,as it can scan the microphone array for vibrations and sound fields of underwater structures.The complicated measurement setup and the time-consuming measurement procedures needed for scanning the microphone array were solved step by step.