Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/101283
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dc.contributor.authorTran, Manh Cuong-
dc.contributor.authorNgo, Thi Thu Hoa-
dc.contributor.authorVu, Trung Dung-
dc.contributor.authorDinh, Tan Hung-
dc.contributor.authorTrong, Thanh Han-
dc.date.accessioned2024-06-03T03:56:43Z-
dc.date.available2024-06-03T03:56:43Z-
dc.date.issued2023-
dc.identifier.issn2525-2224-
dc.identifier.urihttps://dspace.ctu.edu.vn/jspui/handle/123456789/101283-
dc.description.abstractThe direction of arrival plays an important role in wireless communication systems with many applications such as surveillance systems, radars, automatic collision avoidance, and detection systems. It is a critical signal processing problem, and various methods have been developed to optimize its accuracy. In this paper, the long short term memory network, model is used to estimate the direction of incoming, signals for the uniform circular antenna array. The performance of this method is evaluated based on the RMSE parameter and compared with the MUSIC algorithm in different cases such as the deviation of incident angle of radiation sources, and signal to noise ratio...vi_VN
dc.language.isoenvi_VN
dc.relation.ispartofseriesTạp chí Khoa học Công nghệ Thông tin và Truyền thông;Số 04(CS.01) .- P.04-10-
dc.subjectDirection of arrival estimationvi_VN
dc.subjectUniform circular antennavi_VN
dc.subjectLong short term memoryvi_VN
dc.subjectMachine learningvi_VN
dc.subjectArtificial intelligencevi_VN
dc.titleDoa estimation method using uniform circular antenna array based on ISTMvi_VN
dc.typeArticlevi_VN
Appears in Collections:Khoa học Công nghệ Thông tin và Truyền thông

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