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Neural Compensation of Linear Distortion in Digital Communications

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Advances in Neural Networks - ISNN 2004 (ISNN 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3174))

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Abstract

In this paper, we proposed a novel and simple linear distortion compensation scheme utilizing Kohonen’s neural network for digital communications. The scheme compensates the distortions that exist in modulator and demodulator, at the decision stage of the receiver at the same time of data transmission and decision process. The scheme can compensate not only static but also changing distortions. Computer simulations using QPSK signal have confirmed the effectiveness of the proposed scheme.

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References

  1. Proakis, J.G.: Digital Communications, 3rd edn. Prentice Hall, Englewood Cliffs (1995)

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  2. Suzuki, H., Yoshino, H.: Affine Transformation for Linear Distortion Compensation - An Application to Linear Signalling with Equalization in Mobile Radio. Trans. IEICE J75-B-II(1), 1–9 (1992)

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Author information

Authors and Affiliations

  1. Dept. of Elect. Commun. & Inform. Eng., Osaka Institute of Technology, 5-16-1, Asahi-ku, Ohmiya, Osaka, 535-8585, Japan

    Hong Zhou

Authors
  1. Hong Zhou
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Editor information

Editors and Affiliations

  1. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, China

    Fu-Liang Yin

  2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  3. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, Liaoning, China

    Chengan Guo

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© 2004 Springer-Verlag Berlin Heidelberg

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Zhou, H. (2004). Neural Compensation of Linear Distortion in Digital Communications. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_48

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  • DOI: https://doi.org/10.1007/978-3-540-28648-6_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22843-1

  • Online ISBN: 978-3-540-28648-6

  • eBook Packages: Springer Book Archive

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