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

元データ 1996-10-25 一般社団法人電子情報通信学会

概要

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. key words: Inverse problems, artificial neural networks, DOA magnetospheric VLF/ELFwaves

著者

Hirari Mehrez The Department Of Electronic Engineering The University Of Electro-communications
Hirari Mehrez The Department Of Electronic Engineering Faculty Of Electro-communications The University Of Electro
Hayakawa Masashi The Department Of Electronic Engineering The University Of Electro-communications
Hayakawa Masashi The Department Of Electronic Engineering Faculty Of Electro-communications The University Of Electro

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