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The BP Network for Carrier Frequency Offset Estimation in OFDM-Based WLANs

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Book cover Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

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Abstract

This paper presents an efficient carrier frequency offset (CFO) estimation algorithm for the orthogonal frequency-division multiplexing (OFDM)-based wireless local area networks (WLANs) which adopts the IEEE 802.11 standardization. This algorithm adopts the BP network with the orthogonal projector for the fast adaptive CFO estimation. Numerical results are presented to demonstrate the effectiveness of the proposed algorithm.

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References

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Author information

Authors and Affiliations

  1. Dept. of Automation, Tsinghua University, Beijing, 100084, China

    Feng Zhu, Yafeng Hu & Peng Wei

  2. Dept. of Electronic Engineering, Beijing Institute of Technology, Beijing, China

    Saiyi Wang

Authors
  1. Feng Zhu
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  2. Yafeng Hu
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  3. Saiyi Wang
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  4. Peng Wei
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Editor information

Editors and Affiliations

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

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhu, F., Hu, Y., Wang, S., Wei, P. (2006). The BP Network for Carrier Frequency Offset Estimation in OFDM-Based WLANs. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_21

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  • DOI: https://doi.org/10.1007/11760191_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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