{"title":"LS-MIMO系统二维doa估计两种阵列配置的比较研究","authors":"Sahbi Mazlout, M. Salah, A. Samet","doi":"10.1109/COMNET.2017.8285597","DOIUrl":null,"url":null,"abstract":"In this paper, a comparison between two array geometries, including URA arrays and L-shaped arrays, for two-dimensional DOA estimation is presented. For each geometry, algorithm which achieved the more accurate 2D-DOA estimates is considered. Indeed, conjugate symmetry based subspace and 2D-ESPRIT estimators are, respectively, chosen for the estimation of the L-Shaped and URA structures. Various criteria are taken into consideration such us the angular spread. A comparative study of the performance of geometries is carried out in terms of RMSE over a wide range of scenarios. The advantages and drawbacks of each geometry and the respective DOA estimation approaches are illustrated through a numerical comparison.","PeriodicalId":192985,"journal":{"name":"2017 Sixth International Conference on Communications and Networking (ComNet)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Comparative study of two array configurations for 2D-DOA estimation in LS-MIMO systems\",\"authors\":\"Sahbi Mazlout, M. Salah, A. Samet\",\"doi\":\"10.1109/COMNET.2017.8285597\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a comparison between two array geometries, including URA arrays and L-shaped arrays, for two-dimensional DOA estimation is presented. For each geometry, algorithm which achieved the more accurate 2D-DOA estimates is considered. Indeed, conjugate symmetry based subspace and 2D-ESPRIT estimators are, respectively, chosen for the estimation of the L-Shaped and URA structures. Various criteria are taken into consideration such us the angular spread. A comparative study of the performance of geometries is carried out in terms of RMSE over a wide range of scenarios. The advantages and drawbacks of each geometry and the respective DOA estimation approaches are illustrated through a numerical comparison.\",\"PeriodicalId\":192985,\"journal\":{\"name\":\"2017 Sixth International Conference on Communications and Networking (ComNet)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Sixth International Conference on Communications and Networking (ComNet)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMNET.2017.8285597\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Sixth International Conference on Communications and Networking (ComNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMNET.2017.8285597","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative study of two array configurations for 2D-DOA estimation in LS-MIMO systems
In this paper, a comparison between two array geometries, including URA arrays and L-shaped arrays, for two-dimensional DOA estimation is presented. For each geometry, algorithm which achieved the more accurate 2D-DOA estimates is considered. Indeed, conjugate symmetry based subspace and 2D-ESPRIT estimators are, respectively, chosen for the estimation of the L-Shaped and URA structures. Various criteria are taken into consideration such us the angular spread. A comparative study of the performance of geometries is carried out in terms of RMSE over a wide range of scenarios. The advantages and drawbacks of each geometry and the respective DOA estimation approaches are illustrated through a numerical comparison.