DIRECTION OF ARRIVAL USING PCA NEURALNETWORKS

This paper adapted the neural network for the estimating of the direction of arrival (DOA). It usesan unsupervised adaptive neural network with APEX algorithm to extract the principal componentsthat in turn, are used by Capon method to estimate the DOA, where by the PCA neural network wetake signal...

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Bibliographic Details
Published inJournal of Engineering Vol. 10; no. 1; pp. 83 - 89
Main Authors Mahomud, V. A., Hadi, A. S., Wafi, N. K., Taha, S. M. R.
Format Journal Article
LanguageEnglish
Published University of Baghdad 13.03.2024
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Summary:This paper adapted the neural network for the estimating of the direction of arrival (DOA). It usesan unsupervised adaptive neural network with APEX algorithm to extract the principal componentsthat in turn, are used by Capon method to estimate the DOA, where by the PCA neural network wetake signal subspace only and use it in Capon (i.e. we will ignore the noise subspace, and take thesignal subspace only)
ISSN:1726-4073
2520-3339
DOI:10.31026/j.eng.2004.01.07