{"title":"基于加权循环谱的到达角估计","authors":"Huang Zhitao, Z. Yiyu, J. Wenli","doi":"10.1109/ICR.2001.984904","DOIUrl":null,"url":null,"abstract":"For cyclostationary signals, a generalized sensor array data model is presented and a new angle-of-arrival (AOA) estimation method based on weighted cyclic spectrum - GSC-SSF is developed in this paper. The proposed algorithm is more convenient and effective in forming the data matrix or the covariance. matrix for the MUSIC or ESPRIT algorithm to estimate AOA and suppress noise. Simulation results show better performance for the new method.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Angle-of-arrival estimation based on weighted cyclic spectrum\",\"authors\":\"Huang Zhitao, Z. Yiyu, J. Wenli\",\"doi\":\"10.1109/ICR.2001.984904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For cyclostationary signals, a generalized sensor array data model is presented and a new angle-of-arrival (AOA) estimation method based on weighted cyclic spectrum - GSC-SSF is developed in this paper. The proposed algorithm is more convenient and effective in forming the data matrix or the covariance. matrix for the MUSIC or ESPRIT algorithm to estimate AOA and suppress noise. Simulation results show better performance for the new method.\",\"PeriodicalId\":366998,\"journal\":{\"name\":\"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICR.2001.984904\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICR.2001.984904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Angle-of-arrival estimation based on weighted cyclic spectrum
For cyclostationary signals, a generalized sensor array data model is presented and a new angle-of-arrival (AOA) estimation method based on weighted cyclic spectrum - GSC-SSF is developed in this paper. The proposed algorithm is more convenient and effective in forming the data matrix or the covariance. matrix for the MUSIC or ESPRIT algorithm to estimate AOA and suppress noise. Simulation results show better performance for the new method.