{"title":"一种未知源动态DOA估计方法","authors":"Rongjie Wang, Yiju Zhan","doi":"10.1109/ICMA.2015.7237465","DOIUrl":null,"url":null,"abstract":"Aiming to source number determination and DOA estimation under the case of time-varying source number, we propose a method of DOA estimation with an unknown number of sources. Firstly, we introduced an algorithm based on cross-validation technique to determine the number of sources. Then dynamic DOAs of source are estimated using an algorithm based on blind source separation under the case that number of sources are unknown in advanced and it is time-varying. The effectiveness of the proposed method was validated by simulation of time-invariant and time-varying numbers of source, and the simulation results show the proposed method has superior evaluation performance to other conventional methods.","PeriodicalId":286366,"journal":{"name":"2015 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A method of dynamic DOA estimation with an unknown number of sources\",\"authors\":\"Rongjie Wang, Yiju Zhan\",\"doi\":\"10.1109/ICMA.2015.7237465\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming to source number determination and DOA estimation under the case of time-varying source number, we propose a method of DOA estimation with an unknown number of sources. Firstly, we introduced an algorithm based on cross-validation technique to determine the number of sources. Then dynamic DOAs of source are estimated using an algorithm based on blind source separation under the case that number of sources are unknown in advanced and it is time-varying. The effectiveness of the proposed method was validated by simulation of time-invariant and time-varying numbers of source, and the simulation results show the proposed method has superior evaluation performance to other conventional methods.\",\"PeriodicalId\":286366,\"journal\":{\"name\":\"2015 IEEE International Conference on Mechatronics and Automation (ICMA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Mechatronics and Automation (ICMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMA.2015.7237465\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Mechatronics and Automation (ICMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMA.2015.7237465","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method of dynamic DOA estimation with an unknown number of sources
Aiming to source number determination and DOA estimation under the case of time-varying source number, we propose a method of DOA estimation with an unknown number of sources. Firstly, we introduced an algorithm based on cross-validation technique to determine the number of sources. Then dynamic DOAs of source are estimated using an algorithm based on blind source separation under the case that number of sources are unknown in advanced and it is time-varying. The effectiveness of the proposed method was validated by simulation of time-invariant and time-varying numbers of source, and the simulation results show the proposed method has superior evaluation performance to other conventional methods.