Direction Finding Using GHA Neural Networks

Authors

  • N. H. Abbas Electrical Eng. Dept., College of Eng./ University of Baghdad

Keywords:

Keywords: Direction of arrival (DOA), Generalized Hebbian Algorithm (GHA), Principal component analysis (PCA), Capon.

Abstract

 This paper adapted the neural network for the estimating of the direction of arrival (DOA). It uses an unsupervised adaptive neural network with GHA algorithm to extract the principal components that in turn, are used by Capon method to estimate the DOA, where by the PCA neural network we take signal subspace only and use it in Capon (i.e. we will ignore the noise subspace, and take the signal subspace only).

 

 

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Published

2017-12-02

Issue

Section

Articles

How to Cite

Direction Finding Using GHA Neural Networks. (2017). Al-Khwarizmi Engineering Journal, 2(1), 70-77. https://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/5

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