{"title":"基于稀疏表示的稀疏线阵列DOA估计方法","authors":"Tang Bin, Mo Lei, Wu Honggang, Peng Wei","doi":"10.1109/ICCSN.2015.7296182","DOIUrl":null,"url":null,"abstract":"A new DOA estimation algorithm based on the sparse approximate representation of the received signals is proposed. Compared with subspace algorithms, the new algorithm with superresolution, needn't a priori information of the number of signals, therefore it can deal with coherent signals. In the novel method, mixed norm combined 0-norm and 2-norm is used to aid sparse approximate representation, then the number of signals and signals' DOA estimation is obtained. The numeric results show good agreement with the proposed theorem.","PeriodicalId":319517,"journal":{"name":"2015 IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"DOA estimation approach using sparse representation for sparse line array\",\"authors\":\"Tang Bin, Mo Lei, Wu Honggang, Peng Wei\",\"doi\":\"10.1109/ICCSN.2015.7296182\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new DOA estimation algorithm based on the sparse approximate representation of the received signals is proposed. Compared with subspace algorithms, the new algorithm with superresolution, needn't a priori information of the number of signals, therefore it can deal with coherent signals. In the novel method, mixed norm combined 0-norm and 2-norm is used to aid sparse approximate representation, then the number of signals and signals' DOA estimation is obtained. The numeric results show good agreement with the proposed theorem.\",\"PeriodicalId\":319517,\"journal\":{\"name\":\"2015 IEEE International Conference on Communication Software and Networks (ICCSN)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Communication Software and Networks (ICCSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSN.2015.7296182\",\"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 Communication Software and Networks (ICCSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSN.2015.7296182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DOA estimation approach using sparse representation for sparse line array
A new DOA estimation algorithm based on the sparse approximate representation of the received signals is proposed. Compared with subspace algorithms, the new algorithm with superresolution, needn't a priori information of the number of signals, therefore it can deal with coherent signals. In the novel method, mixed norm combined 0-norm and 2-norm is used to aid sparse approximate representation, then the number of signals and signals' DOA estimation is obtained. The numeric results show good agreement with the proposed theorem.