农业工程学报2011，Vol.27Issue(12)：178-183,6.DOI:10.3969/j.issn.1002-6819.2011.12.034
近场波束形成声源识别的改进算法
Improved algorithm of near-field beamforming for sound source identification
摘要
Abstract
In order to improve the sound source identification performance of near-field beamforming and the calculation accuracy of maximum sound pressure contribution on the array plane, the influence of array microphone signal amplitude correction to acoustical imaging and sound source identification was analyzed by using the cross-spectra beamforming algorithm with auto-spectra exclusion based on the assumption of spherical wave. The results indicated that the calculation accuracy of the maximum sound pressure contribution on the array plane was improved, and some shortages such as the increase of the maximum side-lobe level and the reduction of the dynamic range were come out in the meantime. Ulteriorly, the improved near-field beamforming algorithm for the calculation of the sound pressure contribution on the array plane was put forward. Both results of simulation and the experiments showed that the improved algorithm could calculate the maximum sound pressure contribution accurately, and the dynamic range was increased 1.0-1.6 dB. Finally, the acoustical sealed performance test for a car was carried out by using the improved algorithm. The weak positions of the acoustical seal were identified precisely.关键词
传声器阵列/波束形成/声学成像/声源识别/幅值校正Key words
microphones array/ beamforming/ acoustic imaging/ sound source identification/ amplitude correction分类
通用工业技术引用本文复制引用
褚志刚,杨洋..近场波束形成声源识别的改进算法[J].农业工程学报,2011,27(12):178-183,6.基金项目
牵引动力国家重点实验室开发课题(TPL0903) （TPL0903）
