A Neural Network for the DOA of VLF/ELF Radio Waves

Mehrez HIRARI  Masashi HAYAKAWA  

Publication
IEICE TRANSACTIONS on Communications   Vol.E79-B   No.10   pp.1598-1605
Publication Date: 1996/10/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Antennas and Propagation
Keyword: 
Inverse problems,  artificial neural networks,  DOA,  magnetospheric VLF/ELF waves,  

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Summary: 
In the present communication we propose the application of unsupervised Artificial Neural Networks (ANN) to solve general ill-posed problems and particularly we apply them to the the estimation of the direction of arrival (DOA) of VLF/ELF radio waves. We use the wave distribution method which consists in the reconstruction of the energy distribution of magnetospheric VLF/ELF waves at the ionospheric base from observations of the wave's electromagnetic field on the ground. The present application is similar to a number of computerized tomography and image enhancement problems and the proposed algorithm can be straightforwardly extended to other applications in which observations are linearly related to unknowns. Then, we have proven the applicability and also we indicate the superiority of the ANN to the conventional methods to handle this kind of problems.