作者：陈璐, 郭世旭, 王月兵, 郑慧峰

作者单位：中国计量大学计量测试工程学院，浙江 杭州 310018

关键词：声学;近场声全息;统计最优;振速测量

摘要：

考虑到近场噪声检测对水下航行器诊断、降噪具有重要意义，利用矢量声波信号指向性强、抗干扰能力优秀，能有效屏蔽工作环境中物体反射与其他方向干扰声源的特点，提出一种基于振速矢量信息进行柱面统计最优近场声全息的算法。通过仿真分析与实验对比，分别从声源频率与重构距离这两个参数变化对比该算法与标量声压算法的重构精度与声场效果，验证该算法的可行性，以及在声源识别与声场重构的优势：在实验结果中，声源频率变化时，振速算法的误差低于声压算法35%~40%；重构距离变化时，振速算法的误差低于声压算法37%~40%。

Parameter comparison and study on the statistically optimized near-field acoustical holography of cylindrical surface
CHEN Lu, GUO Shixu, WANG Yuebing, ZHENG Huifeng
College of Metrology & Measurement Engineering, China Jiliang University, Hangzhou 310018, China
Abstract: Considering that near-field noise detection is of great significance to diagnose underwater vehicles and reduce the noise, the vector acoustic signal has strong directivity and excellent anti-interference capability, which can effectively shield the reflection of object and interference from other sound sources in other directions. An algorithm for statistically optimal near-field acoustic holography with cylindrical surface is proposed. In the simulation analysis and experimental comparison, the reconstruction accuracy and sound field effect of the proposed algorithm and scalar sound pressure algorithm are compared when the frequency of sound source and the reconstruction distance are changing, respectively. The feasibility of the proposed algorithm is verified, and its advantages in the sound source recognition and sound field reconstruction are illustrated: According to the experimental results, when the frequency of sound source changes, the error of vibration velocity algorithm is 35%-40% lower than that of sound pressure algorithm.When the reconstructed distance changes, the error of vibration velocity algorithm is 37%-40% lower than that of sound pressure algorithm.
Keywords: acoustics;near-field acoustical holography;statistically optimal;velocity measurement
2022, 48(3):15-20  收稿日期: 2021-03-13;收到修改稿日期: 2021-04-25
基金项目: 国家自然科学基金青年基金（11904346）；浙江省自然科学基金青年基金（LQ19A040004）；水声对抗技术国防重点实验室基金一般项目（61422140402）
作者简介: 陈璐（1996-），女，浙江宁波市人，硕士研究生，专业方向为水声计量测试
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