{"title":"基于相互耦合的均匀矩形阵的二维方位估计","authors":"Mustafa Çalişkan, T. E. Tuncer","doi":"10.1109/SIU.2014.6830266","DOIUrl":null,"url":null,"abstract":"In this study, joint estimation of azimuth and elevation angles with uniform rectangular array(URA) in the presence of mutual coupling is discussed. Mutual coupling coefficients are also estimated with the estimated arrival angles. By using these coupling coefficient estimates, two dimensional refined search of direction of arrival angles(DOA) is done. Several Monte Carlo experiments are performed and it is observed that the refined angle estimates are more accurate compared to the initial estimates which do not use the coupling coefficient numerical values. By applying the algorithm proposed in [1], the computational load of two dimensional spectrum search is reduced and the negative effect of mutual coupling between the sensors is eliminated.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two dimensional DOA estimation using uniform rectangular array with mutual coupling\",\"authors\":\"Mustafa Çalişkan, T. E. Tuncer\",\"doi\":\"10.1109/SIU.2014.6830266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, joint estimation of azimuth and elevation angles with uniform rectangular array(URA) in the presence of mutual coupling is discussed. Mutual coupling coefficients are also estimated with the estimated arrival angles. By using these coupling coefficient estimates, two dimensional refined search of direction of arrival angles(DOA) is done. Several Monte Carlo experiments are performed and it is observed that the refined angle estimates are more accurate compared to the initial estimates which do not use the coupling coefficient numerical values. By applying the algorithm proposed in [1], the computational load of two dimensional spectrum search is reduced and the negative effect of mutual coupling between the sensors is eliminated.\",\"PeriodicalId\":384835,\"journal\":{\"name\":\"2014 22nd Signal Processing and Communications Applications Conference (SIU)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 22nd Signal Processing and Communications Applications Conference (SIU)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2014.6830266\",\"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 22nd Signal Processing and Communications Applications Conference (SIU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2014.6830266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Two dimensional DOA estimation using uniform rectangular array with mutual coupling
In this study, joint estimation of azimuth and elevation angles with uniform rectangular array(URA) in the presence of mutual coupling is discussed. Mutual coupling coefficients are also estimated with the estimated arrival angles. By using these coupling coefficient estimates, two dimensional refined search of direction of arrival angles(DOA) is done. Several Monte Carlo experiments are performed and it is observed that the refined angle estimates are more accurate compared to the initial estimates which do not use the coupling coefficient numerical values. By applying the algorithm proposed in [1], the computational load of two dimensional spectrum search is reduced and the negative effect of mutual coupling between the sensors is eliminated.