Regular Antenna Array Synthesis Using Neural Network

Sarevska M., Mastorakis N.

10th WSEAS International Conference on TELECOMMUNICATIONS and INFORMATICS/10th WSEAS International Conference on MICROELECTRONICS, NANOELECTRONICS, OPTOELECTRONICS/and 10th WSEAS International Conference on SIGNAL PROCESSING, Lanzarote, İspanya, 27 - 29 Mayıs 2011, ss.37-38 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Lanzarote
  • Basıldığı Ülke: İspanya
  • Sayfa Sayıları: ss.37-38
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

This paper considers antenna array synthesis for regular antenna array using neural network. Because of the best approximation property, radial basis function neural network is used. Assuming that large number of neurons is available, following the concept of human brain, the choice is made for neural network with exact solution. For given values of the radiation pattern we estimate the phase difference of the excitations between the neighbouring antenna elements. We investigate the required angle step of the training data and sampling for different number of antenna elements and for different element distances. This analyze is necessary starting point for future investigation of neural network solution for irregular antenna array synthesis.