{"title":"相干信号的准确到达方向估计","authors":"Jia-jia Jiang, F. Duan, Yan-chao Li","doi":"10.1109/ICNC.2014.6975956","DOIUrl":null,"url":null,"abstract":"An accurate direction-of-arrival (DOA) estimation algorithm is proposed with a uniform linear array (ULA) when coherent and uncorrelated signals coexist. By selecting the rank from the covariance matrix of array output, we first reconstruct a Toeplitz matrix so as to achieve the objective of decorrelation similar to reference [2]. And then we proposed a spectrum of improved MUSIC (named as SI-MUSIC) method to achieve a super-resolution angular estimation. Moreover, the angular resolution of the I-MUSIC method can be adjust according to the practical requirement. Simulation results demonstrate the effectiveness and performance of the proposed algorithm.","PeriodicalId":208779,"journal":{"name":"2014 10th International Conference on Natural Computation (ICNC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Accurate direction-of-arrival estimation for coherent signals\",\"authors\":\"Jia-jia Jiang, F. Duan, Yan-chao Li\",\"doi\":\"10.1109/ICNC.2014.6975956\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An accurate direction-of-arrival (DOA) estimation algorithm is proposed with a uniform linear array (ULA) when coherent and uncorrelated signals coexist. By selecting the rank from the covariance matrix of array output, we first reconstruct a Toeplitz matrix so as to achieve the objective of decorrelation similar to reference [2]. And then we proposed a spectrum of improved MUSIC (named as SI-MUSIC) method to achieve a super-resolution angular estimation. Moreover, the angular resolution of the I-MUSIC method can be adjust according to the practical requirement. Simulation results demonstrate the effectiveness and performance of the proposed algorithm.\",\"PeriodicalId\":208779,\"journal\":{\"name\":\"2014 10th International Conference on Natural Computation (ICNC)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 10th International Conference on Natural Computation (ICNC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNC.2014.6975956\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 10th International Conference on Natural Computation (ICNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC.2014.6975956","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accurate direction-of-arrival estimation for coherent signals
An accurate direction-of-arrival (DOA) estimation algorithm is proposed with a uniform linear array (ULA) when coherent and uncorrelated signals coexist. By selecting the rank from the covariance matrix of array output, we first reconstruct a Toeplitz matrix so as to achieve the objective of decorrelation similar to reference [2]. And then we proposed a spectrum of improved MUSIC (named as SI-MUSIC) method to achieve a super-resolution angular estimation. Moreover, the angular resolution of the I-MUSIC method can be adjust according to the practical requirement. Simulation results demonstrate the effectiveness and performance of the proposed algorithm.