{"title":"自适应传感器阵列处理的信号子空间投影方法","authors":"D. Carhoun","doi":"10.1109/SSAP.1994.572511","DOIUrl":null,"url":null,"abstract":"Reduced-rank subspace projection methods are used indirectly in frequency and angle-of arrival estimation algorithms such as MUSIC and its relatives, but they are not commonly used directly in least-squares detection applications. We have been exploring their use for the processing of underwater acoustic receiver array data for detection and matched-field localization. We will describe several techniques that have been developed and applied to signals recorded from different types of arrays.","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Signal Subspace Projection Methods of Adaptive Sensor Array Processing\",\"authors\":\"D. Carhoun\",\"doi\":\"10.1109/SSAP.1994.572511\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reduced-rank subspace projection methods are used indirectly in frequency and angle-of arrival estimation algorithms such as MUSIC and its relatives, but they are not commonly used directly in least-squares detection applications. We have been exploring their use for the processing of underwater acoustic receiver array data for detection and matched-field localization. We will describe several techniques that have been developed and applied to signals recorded from different types of arrays.\",\"PeriodicalId\":151571,\"journal\":{\"name\":\"IEEE Seventh SP Workshop on Statistical Signal and Array Processing\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Seventh SP Workshop on Statistical Signal and Array Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSAP.1994.572511\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSAP.1994.572511","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Signal Subspace Projection Methods of Adaptive Sensor Array Processing
Reduced-rank subspace projection methods are used indirectly in frequency and angle-of arrival estimation algorithms such as MUSIC and its relatives, but they are not commonly used directly in least-squares detection applications. We have been exploring their use for the processing of underwater acoustic receiver array data for detection and matched-field localization. We will describe several techniques that have been developed and applied to signals recorded from different types of arrays.