{"title":"基于球面阵列的近场和远场混合源的DOA估计","authors":"Qinghua Huang, Tao Song","doi":"10.1109/ICOSP.2012.6491680","DOIUrl":null,"url":null,"abstract":"In practical applications, the observations collected by a spherical array may be mixed far-field and near-field signals. A new approach which exploits the recursive relationship of spherical harmonics is proposed to estimate the direcitons of arrival (DOAs) of multiple mixed sources. The algorithm is independent of the far-field or near-field assumption in the spherical harminics domain. It avoids high dimensional search and provides accurate estimation. Simulation results demonstrate better estimation performance.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"167 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"DOA estimation of mixed near-field and far-field sources using spherical array\",\"authors\":\"Qinghua Huang, Tao Song\",\"doi\":\"10.1109/ICOSP.2012.6491680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In practical applications, the observations collected by a spherical array may be mixed far-field and near-field signals. A new approach which exploits the recursive relationship of spherical harmonics is proposed to estimate the direcitons of arrival (DOAs) of multiple mixed sources. The algorithm is independent of the far-field or near-field assumption in the spherical harminics domain. It avoids high dimensional search and provides accurate estimation. Simulation results demonstrate better estimation performance.\",\"PeriodicalId\":143331,\"journal\":{\"name\":\"2012 IEEE 11th International Conference on Signal Processing\",\"volume\":\"167 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 11th International Conference on Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSP.2012.6491680\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 11th International Conference on Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.2012.6491680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DOA estimation of mixed near-field and far-field sources using spherical array
In practical applications, the observations collected by a spherical array may be mixed far-field and near-field signals. A new approach which exploits the recursive relationship of spherical harmonics is proposed to estimate the direcitons of arrival (DOAs) of multiple mixed sources. The algorithm is independent of the far-field or near-field assumption in the spherical harminics domain. It avoids high dimensional search and provides accurate estimation. Simulation results demonstrate better estimation performance.