{"title":"基于多球面阵列的宽带声源定位新算法","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":"{\"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}","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}
A novel algorithm for wideband acoustic sources localization using multiple spherical arrays
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.