{"title":"一种互相关张量视角下的互素三次阵二维DOA估计","authors":"Hang Zheng, Chengwei Zhou, Yong Wang, Zhiguo Shi","doi":"10.23919/ISAP47053.2021.9391380","DOIUrl":null,"url":null,"abstract":"In this paper, a cross-correlation coarray tensor-based 2-D direction-of-arrival (DOA) estimation method for coprime cubic array (CCA) is proposed. Since the CCA received signals characterized by two coprime tensors cannot be collectively shaped as a single tensor to operate auto-correlation, the cross-correlation is introduced to calculate the coarray tensor statistics of CCA. A Nyquist-matched 4-D coarray tensor is then obtained for 2-D DOA estimation, where the designed structured tensorization is applied without spatial smoothing. Simulation results verify the effectiveness of the proposed method.","PeriodicalId":165901,"journal":{"name":"2020 International Symposium on Antennas and Propagation (ISAP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"2-D DOA Estimation for Coprime Cubic Array: A Cross-correlation Tensor Perspective\",\"authors\":\"Hang Zheng, Chengwei Zhou, Yong Wang, Zhiguo Shi\",\"doi\":\"10.23919/ISAP47053.2021.9391380\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a cross-correlation coarray tensor-based 2-D direction-of-arrival (DOA) estimation method for coprime cubic array (CCA) is proposed. Since the CCA received signals characterized by two coprime tensors cannot be collectively shaped as a single tensor to operate auto-correlation, the cross-correlation is introduced to calculate the coarray tensor statistics of CCA. A Nyquist-matched 4-D coarray tensor is then obtained for 2-D DOA estimation, where the designed structured tensorization is applied without spatial smoothing. Simulation results verify the effectiveness of the proposed method.\",\"PeriodicalId\":165901,\"journal\":{\"name\":\"2020 International Symposium on Antennas and Propagation (ISAP)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Symposium on Antennas and Propagation (ISAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ISAP47053.2021.9391380\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Symposium on Antennas and Propagation (ISAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ISAP47053.2021.9391380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
2-D DOA Estimation for Coprime Cubic Array: A Cross-correlation Tensor Perspective
In this paper, a cross-correlation coarray tensor-based 2-D direction-of-arrival (DOA) estimation method for coprime cubic array (CCA) is proposed. Since the CCA received signals characterized by two coprime tensors cannot be collectively shaped as a single tensor to operate auto-correlation, the cross-correlation is introduced to calculate the coarray tensor statistics of CCA. A Nyquist-matched 4-D coarray tensor is then obtained for 2-D DOA estimation, where the designed structured tensorization is applied without spatial smoothing. Simulation results verify the effectiveness of the proposed method.
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