{"title":"用简单的平面阵列检测非相干和相干信号的数量","authors":"Ke Chen, J. Xin, Hao Tao, Nanning Zheng, A. Sano","doi":"10.1109/SPAWC.2014.6941448","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate the number detection of a mixture of noncoherent and coherent signals impinging on a simple planar array consisting of two parallel uniform linear arrays (ULAs). Firstly, the numbers of noncoherent signals and coherent groups are obtained from the ranks of two outer-product matrices. Then a new oblique projector is obtained to suppress the noncoherent signals in the received array data and the number of coherent signals is obtained from the rank of another outer-product matrix which only contains the information of coherent signals. The number of noncoherent signals and that of coherent signals are estimated separately and the effectiveness of the proposed method is substantiated through numerical examples where the simulation results show that the proposed method performs well with a small number of snapshots and/or at relatively low signal-to-noise ratio (SNR).","PeriodicalId":420837,"journal":{"name":"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection of the number of noncoherent and coherent signals with a simple planar array\",\"authors\":\"Ke Chen, J. Xin, Hao Tao, Nanning Zheng, A. Sano\",\"doi\":\"10.1109/SPAWC.2014.6941448\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we investigate the number detection of a mixture of noncoherent and coherent signals impinging on a simple planar array consisting of two parallel uniform linear arrays (ULAs). Firstly, the numbers of noncoherent signals and coherent groups are obtained from the ranks of two outer-product matrices. Then a new oblique projector is obtained to suppress the noncoherent signals in the received array data and the number of coherent signals is obtained from the rank of another outer-product matrix which only contains the information of coherent signals. The number of noncoherent signals and that of coherent signals are estimated separately and the effectiveness of the proposed method is substantiated through numerical examples where the simulation results show that the proposed method performs well with a small number of snapshots and/or at relatively low signal-to-noise ratio (SNR).\",\"PeriodicalId\":420837,\"journal\":{\"name\":\"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)\",\"volume\":\"121 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAWC.2014.6941448\",\"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 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2014.6941448","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection of the number of noncoherent and coherent signals with a simple planar array
In this paper, we investigate the number detection of a mixture of noncoherent and coherent signals impinging on a simple planar array consisting of two parallel uniform linear arrays (ULAs). Firstly, the numbers of noncoherent signals and coherent groups are obtained from the ranks of two outer-product matrices. Then a new oblique projector is obtained to suppress the noncoherent signals in the received array data and the number of coherent signals is obtained from the rank of another outer-product matrix which only contains the information of coherent signals. The number of noncoherent signals and that of coherent signals are estimated separately and the effectiveness of the proposed method is substantiated through numerical examples where the simulation results show that the proposed method performs well with a small number of snapshots and/or at relatively low signal-to-noise ratio (SNR).