Corpus ID: 33179720

Intelligent beamforming by using a complex-valued neural network

@article{Suksmono2004IntelligentBB,
  title={Intelligent beamforming by using a complex-valued neural network},
  author={A. B. Suksmono and A. Hirose},
  journal={J. Intell. Fuzzy Syst.},
  year={2004},
  volume={15},
  pages={139-147}
}
  • A. B. Suksmono, A. Hirose
  • Published 2004
  • Computer Science
  • J. Intell. Fuzzy Syst.
  • This paper describes an intelligent beamforming (IBF) system based on complex-valued neural network (CVNN). A multilayer network structure with complex-valued neurons has been used. The system employs the complex-valued backpropagation algorithm (CVBPA) to intelligently adapt incoming signals impinging to sensors array. Performance of the CVNN-IBF system is compared with that of the conventional single-layer adaptive system using complex-valued least mean square (CLMS) algorithm. Experiments… CONTINUE READING
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