E. Mabande, Haohai Sun, K. Kowalczyk, Walter Kellermann
{"title":"Comparison of subspace-based and steered beamformer-based reflection localization methods","authors":"E. Mabande, Haohai Sun, K. Kowalczyk, Walter Kellermann","doi":"10.5281/ZENODO.42565","DOIUrl":null,"url":null,"abstract":"This paper presents a comparative study of several techniques that are applicable to the localization of the most significant reflectors in an acoustic environment. It focuses on subspace-based and steered beamformer-based localization techniques and includes eigenbeam (EB)-ESPRIT, EB-MUSIC, and EB-minimum variance distortionless response (EB-MVDR) methods. The directions of arrival (DOAs) of the sound sources and reflective surfaces in an acoustic environment are estimated from the acoustic images of rooms, which are obtained using a microphone array. The applicability of the presented methods in practice is confirmed by experimental results from real measurements.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 19th European Signal Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.42565","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
This paper presents a comparative study of several techniques that are applicable to the localization of the most significant reflectors in an acoustic environment. It focuses on subspace-based and steered beamformer-based localization techniques and includes eigenbeam (EB)-ESPRIT, EB-MUSIC, and EB-minimum variance distortionless response (EB-MVDR) methods. The directions of arrival (DOAs) of the sound sources and reflective surfaces in an acoustic environment are estimated from the acoustic images of rooms, which are obtained using a microphone array. The applicability of the presented methods in practice is confirmed by experimental results from real measurements.