摘要
相位麦克风阵列技术是最近十年快速发展起来的一种声学实验技术,旨在精确地识别和定位出噪声源,反演出每个声源的频率、位置和幅值信息。然而对于复杂分布声源,已有的麦克风阵列后处理技术难以获得令人满意的结果,声源频率通常可以精确识别,而位置和幅值重构误差较大。为此,本文引用了一种正则化技术来寻求获得精确解,进行了相关的数值验证和实验验证。结果表明,采用正则化方法能够很好地解决反问题算法中存在的幅值误差放大现象,从而比较准确地识别和定位出声源信息。
Phased microphone array is an acoustic measurement technique developed in the past ten years,whose aims to recognize and localize the noise sources precisely,reconstruct the frequency, position and amplitude of each source.However,to complex distributed sources,the available post-processing methods of microphone array technique are difficult to give satisfactory results,by which the source frequency can usually be recognized precisely,but the reconstruction accuracy of source position and amplitude has large error.Therefore,a regularization technique is resorted to find precise solution,and some relevant numerical and experimental validations are carried out.The results show that the phased microphone array coupled with the regularization method can remove the amplitude error magnification phenomena in the inverse problem algorithm,and can recognize and localize the source information rather accurately.
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2013年第1期59-62,共4页
Journal of Engineering Thermophysics
基金
国家自然科学基金项目资助(No.10972022)
关键词
相位麦克风阵列
气动声学
正则化方法
反问题
phased microphone array
aeroacoustics
regularization method
inverse problem
