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Ultra-wideband Beamforming by Using a Complex-Valued Spatio-temporal Neural Network

  • Andriyan B. Suksmono
  • Akira Hirose
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3316)

Abstract

We propose an ultra-wideband (UWB) beamforming technique by using a spatio-temporal complex-valued multilayer neural network (ST-CVMLNN). The complex-valued backpropagation through time (CV-BPTT) is employed as a learning algorithm. The system is evaluated with an ultra-wideband monocycle signal. Preliminary simulation results in suppression of UWB interferer and in steering for desired UWB signal, demonstrating the applicability of the proposed system.

Keywords

Hide Layer Finite Impulse Response Synaptic Strength Polar Plot Uniform Linear Array 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Suksmono, A.B., Hirose, A.: Adaptive beamforming by using complex-valued multilayer perceptron. In: Proc. ICANN/ICONIP-2003. LNCS, vol. 2714, pp. 959–966. Springer, Heidelberg (2003)Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Andriyan B. Suksmono
    • 1
  • Akira Hirose
    • 2
  1. 1.Department of Electrical EngineeringInstitut Teknologi BandungIndonesia
  2. 2.Department of Electrical and Electronics EngineeringThe University of Tokyo 

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