{"title":"DOA estimation utilizing power inversion adaptive array by aggregated microphones","authors":"M. Matsumoto, S. Hashimoto","doi":"10.1109/ISSPIT.2005.1577131","DOIUrl":null,"url":null,"abstract":"This paper introduces the direction of arrival estimation by a power inversion adaptive array (PIAA) method that utilizes the transfer characteristics of microphones located at a same place, namely aggregated microphones. In this paper, we firstly show that the microphone array system and the proposed aggregated microphone system can be described in the same framework. We then apply the PIAA method to the aggregated microphones and compare the proposed method with the microphone array. In the proposed method, all microphones are placed at the same place. Hence, it is easy to miniaturize the system. This feature is considered to be useful in the practical applications. We show the directional pattern of the PIAA utilizing aggregated microphones. We also show the results of the DOA estimation","PeriodicalId":421826,"journal":{"name":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2005.1577131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper introduces the direction of arrival estimation by a power inversion adaptive array (PIAA) method that utilizes the transfer characteristics of microphones located at a same place, namely aggregated microphones. In this paper, we firstly show that the microphone array system and the proposed aggregated microphone system can be described in the same framework. We then apply the PIAA method to the aggregated microphones and compare the proposed method with the microphone array. In the proposed method, all microphones are placed at the same place. Hence, it is easy to miniaturize the system. This feature is considered to be useful in the practical applications. We show the directional pattern of the PIAA utilizing aggregated microphones. We also show the results of the DOA estimation