Direction of arrival estimation of mobile stochastic electromagnetic sources with variable radiation powers using hierarchical neural model

Hierarchical neural model for an efficient one‐dimensional direction of arrival (DoA) estimation of stochastic electromagnetic (EM) sources with a variable radiation power is proposed. Model is trained to provide an azimuth position of such sources based on a spatial correlation matrix obtained by a...

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Veröffentlicht in:	International journal of RF and microwave computer-aided engineering 2019-10, Vol.29 (10), p.n/a
Hauptverfasser:	Stanković, Zoran, Dončov, Nebojša, Milovanović, Ivan, Milovanović, Bratislav
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Azimuth Correlation analysis Direction of arrival direction of arrival estimation MLP neural networks Multilayer perceptrons neural modeling Neural networks stochastic electromagnetic sources variable radiation power
Online-Zugang:	Volltext
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