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Adaptive Beamforming by Using Complex-Valued Multi Layer Perceptron

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Book cover Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 (ICANN 2003, ICONIP 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2714))

Abstract

We propose a complex-valued multilayer perceptron (CVMLP) neural network for adaptive beamforming. The complex-valued backpropagation algorithm (CVBPA) has been used to train the network. Experiments for a narrowband signal with multiple beam pointings and multiple nulls steering has been conducted. By using a 7-2-1 CVMLP topology and linear activation function, it is demonstrated that the beamforming by using CVMLP outperforms beamforming using complex-valued least mean square (CLMS) algorithm in terms of faster learning convergence and better interferences suppressions.

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Author information

Authors and Affiliations

  1. Dept. of Electrical Engineering, Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung, 40132, Indonesia

    Andriyan Bayu Suksmono

  2. Grad. School of Frontier Sciences, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan

    Akira Hirose

Authors
  1. Andriyan Bayu Suksmono
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  2. Akira Hirose
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Editor information

Editors and Affiliations

  1. Bogazici University, Bebek, 34342, Istanbul, Turkey

    Okyay Kaynak  & Ethem Alpaydin  & 

  2. Laboratory of Computer and Information Science, Helsinki University of Technology, P.O.B. 5400, 02015, Finland

    Erkki Oja

  3. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong

    Lei Xu

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© 2003 Springer-Verlag Berlin Heidelberg

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Suksmono, A.B., Hirose, A. (2003). Adaptive Beamforming by Using Complex-Valued Multi Layer Perceptron. In: Kaynak, O., Alpaydin, E., Oja, E., Xu, L. (eds) Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. ICANN ICONIP 2003 2003. Lecture Notes in Computer Science, vol 2714. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44989-2_114

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  • DOI: https://doi.org/10.1007/3-540-44989-2_114

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40408-8

  • Online ISBN: 978-3-540-44989-8

  • eBook Packages: Springer Book Archive

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