Spatial Localization of Electromagnetic Radiation Sources by Cascade Neural Network Model with Noise Reduction

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dc.contributor.authorIlic, M.
dc.contributor.authorStankovic, Z.
dc.contributor.authorMales-Ilic, N.
dc.coverage.issue3cs
dc.coverage.volume32cs
dc.date.accessioned2023-10-11T08:00:48Z
dc.date.available2023-10-11T08:00:48Z
dc.date.issued2023-09cs
dc.description.abstractIn this paper, the Direction of Arrival - DoA estimation for two mobile sources was performed by using the Single Multilayer Perceptron (MLP) neural network model (SMLP-DoA) and the Cascade MLP model(CMLP). The latter model consists of two neural networks connected in a cascade where the outputs of the first MLP that rejects noise represent the inputs to the second network in a cascade. The outputs of the neural network models determine the direction of arrival of the incoming signals. Two cases were considered, in the first case the neural networks were trained on the samples that were without noise, and in the second with samples containing noise. Both considered neural network models were tested with noisy samples. The results of these two neural models are compared to the results achieved by the RootMUSIC algorithm. The presented results show that the proposed CMLP model has a higher accuracy in determining the angular positions of sources compared to the classical SMLP-DoA model and the RootMUSIC algorithm. Moreover, the CMLP model executes significantly faster compared to the model based on the RootMUSIC algorithm.en
dc.formattextcs
dc.format.extent381-390cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2023 vol. 32, č. 3, s. 381-390. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2023.0381en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/214346
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2023/23_03_0381_0390.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectThe direction of Arriva (DoA) estimationen
dc.subjectartificial neural networksen
dc.subjectMultilayer Perceptron (MLP)en
dc.subjectsingle MLPen
dc.subjectcascade MLPen
dc.subjectRootMUSIC algorithmen
dc.titleSpatial Localization of Electromagnetic Radiation Sources by Cascade Neural Network Model with Noise Reductionen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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