A novel algorithm for wideband acoustic sources localization using multiple spherical arrays

Fangzhou Wang, Xi Pan
{"title":"A novel algorithm for wideband acoustic sources localization using multiple spherical arrays","authors":"Fangzhou Wang, Xi Pan","doi":"10.1109/ISSPIT.2013.6781888","DOIUrl":null,"url":null,"abstract":"A novel algorithm based on spherical harmonic analysis using multiple spherical arrays is proposed to localize wideband acoustic sources. In the novel spherical harmonic algorithm, the received microphone signals are firstly used to do the spherical Fourier transform. Then, the MUSIC algorithm is applied to the spherical components to obtain the angularspectrum. Finally, the angular-spectrum smoothing technique is initially proposed to obtain the accuracy localization for wideband sources. In contrast to the traditional single spherical array the multiple spherical arrays used in this paper consist of several randomly distributed spheres in a given plane. The microphones are uniformly placed on each sphere, the same as the usual single spherical array. Simulation comparison of wideband sources localization between single spherical array and multiple spherical array based on the novel algorithm is carried out to evaluate the validity of our method.","PeriodicalId":88960,"journal":{"name":"Proceedings of the ... IEEE International Symposium on Signal Processing and Information Technology. IEEE International Symposium on Signal Processing and Information Technology","volume":"53 1","pages":"000249-000254"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... IEEE International Symposium on Signal Processing and Information Technology. IEEE International Symposium on Signal Processing and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2013.6781888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

A novel algorithm based on spherical harmonic analysis using multiple spherical arrays is proposed to localize wideband acoustic sources. In the novel spherical harmonic algorithm, the received microphone signals are firstly used to do the spherical Fourier transform. Then, the MUSIC algorithm is applied to the spherical components to obtain the angularspectrum. Finally, the angular-spectrum smoothing technique is initially proposed to obtain the accuracy localization for wideband sources. In contrast to the traditional single spherical array the multiple spherical arrays used in this paper consist of several randomly distributed spheres in a given plane. The microphones are uniformly placed on each sphere, the same as the usual single spherical array. Simulation comparison of wideband sources localization between single spherical array and multiple spherical array based on the novel algorithm is carried out to evaluate the validity of our method.
基于多球面阵列的宽带声源定位新算法
提出了一种基于多球阵球谐分析的宽带声源定位算法。该算法首先利用接收到的传声器信号进行球面傅里叶变换。然后,将MUSIC算法应用于球面分量,得到角谱。最后,初步提出了采用角谱平滑技术实现宽带源的精度定位。与传统的单球阵不同,本文采用的多球阵是由若干个随机分布在给定平面上的球体组成的。麦克风均匀地放置在每个球体上,与通常的单球面阵列相同。通过对基于新算法的单球阵和多球阵宽带源定位的仿真比较,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信