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

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概要

• 論文の詳細を見る

• 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

• 一般社団法人電子情報通信学会の論文
• 1996-10-25

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

関連論文

• Radiation from Bent Transmission Lines(Special Issue on Innovation in Antennas and Propagation for Expanding Radio Systems)
• A Neural Network for the DOA of VLF/ELF Radio Waves
• A Bayesian Regularization Approach to III-Posed Problems with Application to the Direction Finding of VLF/ELF Radio Waves

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