Efficient DoA Tracking of Variable Number of Moving Stochastic EM Sources in Far-Field Using PNN-MLP Model
An efficient neural network-based approach for tracking of variable number of moving electromagnetic (EM) sources in far-field is proposed in the paper. Electromagnetic sources considered here are of stochastic radiation nature, mutually uncorrelated, and at arbitrary angular distance. The neural ne...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2015/542614 |
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| author | Zoran Stanković Nebojša Dončov Bratislav Milovanović Ivan Milovanović |
| author_facet | Zoran Stanković Nebojša Dončov Bratislav Milovanović Ivan Milovanović |
| author_sort | Zoran Stanković |
| collection | DOAJ |
| description | An efficient neural network-based approach for tracking of variable number of moving electromagnetic (EM) sources in far-field is proposed in the paper. Electromagnetic sources considered here are of stochastic radiation nature, mutually uncorrelated, and at arbitrary angular distance. The neural network model is based on combination of probabilistic neural network (PNN) and the Multilayer Perceptron (MLP) networks and it performs real-time calculations in two stages, determining at first the number of moving sources present in an observed space sector in specific moments in time and then calculating their angular positions in azimuth plane. Once successfully trained, the neural network model is capable of performing an accurate and efficient direction of arrival (DoA) estimation within the training boundaries which is illustrated on the appropriate example. |
| format | Article |
| id | doaj-art-8701aa04643047daaba81c4bad54553a |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-8701aa04643047daaba81c4bad54553a2025-02-03T06:10:57ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772015-01-01201510.1155/2015/542614542614Efficient DoA Tracking of Variable Number of Moving Stochastic EM Sources in Far-Field Using PNN-MLP ModelZoran Stanković0Nebojša Dončov1Bratislav Milovanović2Ivan Milovanović3Faculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 14, 18 000 Niš, SerbiaFaculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 14, 18 000 Niš, SerbiaSingidunum University, Danijelova 32, 11000 Belgrade, SerbiaSingidunum University, Danijelova 32, 11000 Belgrade, SerbiaAn efficient neural network-based approach for tracking of variable number of moving electromagnetic (EM) sources in far-field is proposed in the paper. Electromagnetic sources considered here are of stochastic radiation nature, mutually uncorrelated, and at arbitrary angular distance. The neural network model is based on combination of probabilistic neural network (PNN) and the Multilayer Perceptron (MLP) networks and it performs real-time calculations in two stages, determining at first the number of moving sources present in an observed space sector in specific moments in time and then calculating their angular positions in azimuth plane. Once successfully trained, the neural network model is capable of performing an accurate and efficient direction of arrival (DoA) estimation within the training boundaries which is illustrated on the appropriate example.http://dx.doi.org/10.1155/2015/542614 |
| spellingShingle | Zoran Stanković Nebojša Dončov Bratislav Milovanović Ivan Milovanović Efficient DoA Tracking of Variable Number of Moving Stochastic EM Sources in Far-Field Using PNN-MLP Model International Journal of Antennas and Propagation |
| title | Efficient DoA Tracking of Variable Number of Moving Stochastic EM Sources in Far-Field Using PNN-MLP Model |
| title_full | Efficient DoA Tracking of Variable Number of Moving Stochastic EM Sources in Far-Field Using PNN-MLP Model |
| title_fullStr | Efficient DoA Tracking of Variable Number of Moving Stochastic EM Sources in Far-Field Using PNN-MLP Model |
| title_full_unstemmed | Efficient DoA Tracking of Variable Number of Moving Stochastic EM Sources in Far-Field Using PNN-MLP Model |
| title_short | Efficient DoA Tracking of Variable Number of Moving Stochastic EM Sources in Far-Field Using PNN-MLP Model |
| title_sort | efficient doa tracking of variable number of moving stochastic em sources in far field using pnn mlp model |
| url | http://dx.doi.org/10.1155/2015/542614 |
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